AI & The Future of Power, News

Indian Society of Artificial Intelligence & Law and Rajiv Malhotra discuss the role of AI

Inspiration behind Authoring the Book
Shri Rajiv elucidates:
“So, you know, when I did artificial intelligence as a computer science student in the US, nearly 50 years ago, it was a very basic field, not so advanced. Then I set it aside and I got into humanities. Social sciences, started a foundation, a think tank to promote ideas about our civilization and do a lot of original research myself. But about five years ago, I decided to go back and update my knowledge on AI and bring it in the context of Indian civilization, India, Indian thought issues in India, because I felt I knew lagging behind. And of course, India is now about 10 years behind China and the US in artificial intelligence. We have a large amount of manpower trained, but these people get outsourced. They’re working to create intellectual property for other people and not Indian intellectual property. And also, a lot of the work that the artificial intelligence train people in doing is very basic and low-level kind of work. So, I felt that this needs to be addressed, and I was not satisfied. I’m still not satisfied with the policies in India. On data protection on the way in [which it is] going about, managing his artificial intelligence program, and not fully aware of the dangers and
threats that a foreign artificial intelligence brings, for India’s national security.”
Indian Journal of Artificial Intelligence and Law 12 Shri Rajiv explains that the 5 focus areas of his book are 5 different battle fields like Kurukshetra. He further explains:

“One of the legal issues is: if an algorithm makes a choice, you know, whether to turn left or right in a crisis mode, it’s driving a car. If I turn left, I killed this fellow had turned, right? I mean, just that fellow who made the choice, who decided which one, which one gets hurt, you know, so as algorithms make choices on hiring people who, how, what are the consequences of hiring X and not Y as algorithms decide that is a rare organ and organ transplant is to happen.” He further dives deep into the issue of algorithmic accountability and elucidates: “Who’s liable? (now you may say that) The Person who trained the desirable? But that’s not so clear who trained it because you know, when a child is growing up, there are many influences to any of the child’s bed and train them school training; friends trained him – media also trained him. So just like the child looks at so many examples and learns from them and it gets influenced and he’s a product of all kinds of influence […] So same way in the case of algorithmic training, training the machines up, you know, a machine gets big data and this big data gives us examples of what to do, what not to do. […] It’s constantly changing. It is not a fixed algorithm. The machine learning is a dynamic algorithm is learning from experiences. So, like for instance, if
you have an algorithm that learning about case law, In India and you keep feeding it case law. And so, it, it processes all the case. Law understands the language could be in the English, whatever language the case is written in. And that it’s able to derive, you know, what, what actions produce, what consequences, what’s the likelihood. If [you strategize] like this, then you get a favorable outcome or kind of a legal understanding, just like lawyers, human beings have. It can also, it can be augmented by algorithms. So, the question is somebody asked you, okay, show me logic in your algorithm, how you came up with this. The person cannot because [it is] just so complex. It is so complex. And the algorithm has learned from many, many cases [and] from many, many examples, much, so much big data. You cannot say that the algorithm works exactly this way. Algorithm works this way in some cases in that way, in another situation, in that case, in another
situation, and the algorithm is always learning. If I explained it to you today, how it’s working, then tomorrow, it’s different because it’s got new data. So, this is another challenge for the law.” Shri Rajiv elucidates that the algorithms in general used by the big tech and even in general by mainstream entities have a Westernized perspective, when it comes to studying India’s demography. He explains: “Another thing that I’m concerned about is that, these algorithms have been trained on [the basis of] Western [methodology & perception, i.e.,] the Western study of India. […] The community is looked at through what I call Western universalism,
which is the lens of Western, Western people, their history, their philosophy and what e-ISSN: 2582-6999 | isail.in/journal 13 happened in Europe. […] Based on all that, they’ve come up with a theory that this is normal for everybody in the whole world; but that’s not true. It’s normal for them, but
may not be normal for us. So, this is kind of training based on Western universalism, even of Indian culture is quite misleading.” About Vedic AI and Biological Materialism Shri Rajiv elucidates about biological materialism and explains how biological materialism develops in general, in the realm of AI as an industry. “The AI can understand you very well, better than human psychology scan. And then the, I can artificially give you that also. So, you know, people will end up with artificial life with some kind of fake life, and lot of people will become total moron, Stoker zombies. Living in this kind of world and the digital companies become worth even more. They’re already so rich, the richest companies in the world. Now they become even richer because they are hacking the deepest desire side of human beings. So you see the, the world becoming FIC experience becoming FIC less and less real away from the journey of a Dante is a serious issue and gurus need to understand it.” Shri Rajiv elucidates about the role of Vedic and Indic literature and scriptures in the fostering of technology & about the manipulation of the human mind: “It can help you in agriculture. It can help you in medical surgery. It can, you know, so many things it can do. It could also probably help in more efficient. It’s more [based upon] efficient energy generation and timing, change areas – all those kinds of things. […] But what concerns me is when it starts manipulating the human mind. When
[the companies] are doing it. When it is used by human mind to solve disease and to solve problems here and there, all of that seems to be fine; that is one thing. But when you turn the surveillance into the human person himself and then the person becomes an object, or the person becomes an object controlled by whoever is controlling this AI machine, then I think there is a serious ethical problem.” Shri Rajiv explains algorithmic biology:
“So, modernization means that as machines get smarter, people are getting dumber. Machines, getting smarter people getting dumber people saying, ah, we will ask Google, how do I need to know anything, sir? Why do I need to study law? […] You don’t even have to type; you just speak and you know, you get your answer. So, this business, the source of knowledge and authority is shifted to the digital algorithms at people. And these people who own these algorithms are feeding part of it, some other country, and they don’t have any [concern] in what is happening in India. They just do marketing and make money. So, the whole generation is being raised on these digital gurus, these digital “devtas”, you know, and we are getting dumb. Indian Journal of Artificial Intelligence and Law 14 […] They can gamify this community, whether it is farmers, whether it is [of any identity]. They can take a community, understand what their hot buttons are, how
they respond, what they will respond to, who their leaders are, what their ideology is [in order] to manipulate them, how to make them think a certain way. And then they can bring in the kind of content to motivate them in a certain direction. They can have divide and rule. They can create divide and rule like the British East India company did. […] So this kind of insight information and the ability to manipulate while the public becoming morons becoming, you know, not leaders, not understanding this, our leaders don’t understand what I’m telling you about. […] People who’ve got this huge AI machinery going are 10, 15 years ahead of India. […] We are users of somebody else’s technology. We may have a largest number of cell
phones, but these are hardware to Chinese and the operating system is American. […] We are proud as consumers of somebody else’s product. […] If our community somewhere in the Amazon jungle has been using a particular plant to treat a certain disease, the pharma industry, [where] people go around the world looking for such things and they take cuttings from that tree and they bring it back to their labs [which they] find out which molecule out of all the plant complicated stuff, which is a molecule, they can
isolate that is active molecule. Then they get patent on it. And then they sell that medicine back to make a lot of money. [Under international IP & cultural law] the community can claim that because it was based on their plant product, even though they did not patent it, [their ownership matters since] it was based on their plant product, which they were using for a certain purpose. […] They get a certain percentage share of that intellectual property. Now the proposal that I’m making is that just like plant is raw material for discovering drugs, similarly, big data is raw material for discovering algorithms for making the algorithm stronger. So, if the foreign company comes, they do some surveillance, they got a lot of diversity of genetics. They got diversity of language and culture and economic strata and you know, all kinds of social situations. And there, the algorithm, the studying, all this, they’re really studying a very complex microcosm of the whole world in one place. […] So, they’re studying this and that’s very precious big data. Why are we giving it away free? Why are we even giving it at all? There is no shortage of smart people in India who could do all this. Why don’t you go to 5-10 Indian universities and put up tender and say, okay, we want to give three or four contracts to you. People come up with a proposal. Why would you outsource this to foreign people? I cannot understand why Yogi Adityanath did that [for the Kumbh Mela in 2017].
According to me, [it was] a serious blunder, especially after I had gone to him personally and briefed him what the problem is. Yet they still did it.
So that is my situation, my position on looking at biology as algorithms, as machines. […] So, the human being becomes a biological machine, which is, operated by some AI system, you know, and so this way they can treat so many people in India, e-ISSN: 2582-6999 | isail.in/journal 15 sort of, you know, biological objects that are working for them. And they are busy collecting data out of it. […] You know, there is research on making viruses that will only attack a particular DNA type. This is not science fiction. There are viruses that will spare a particular kind of DNA, which means that it’ll go for anybody, but this particular DNA, it will not attack that part of the DNA.
So, this, this is our big data. Biology has become part of AI.” Social Media Companies and Algorithmic Censorship Shri Rajiv elucidates: “The reason Facebook, (if you take Facebook as a competitor or let’s say Twitter as a competitor) – the reason they are able to invest so much in artificial intelligence is because they make a lot of money on advertising. So, you have to fund it. […] You cannot expect some government or somebody will fund you $50,000 a year. That’s the scale I’m talking about. […] And this requires several thousands of man years to develop this kind of ecommerce background because Facebook did not invent it overnight. […] So, they have the experience lead of 10-15 years. […] In 2022, Facebook is going to introduce augmented reality goggles and so will Apple. So, now Facebook will become a hardware-related company. So, they will combine, they will have a huge base like Apple and they will have these governments and they’re testing them. I know some people who are involved in the testing
of this, so this is pretty awesome stuff. They will give you amazing experiences, which is what Facebook is about: people wanting experiences, having friends and what not. So, these augmented goggles will give you that and eventually it will be implanted. Aesthetic & Pragmatic Influence of AI Shri Rajiv elucidates: “I started this philosophically. I started by asking, whether the universe is pragmatic. If all the things that moving very pragmatically, there’s no aesthetic aspect. […] If the universe is an algorithm, it’s all very pragmatic. So, I was actually studying this for all my life from a philosophical point of view. Then if it is a pragmatic algorithm, where does aesthetics fit in? What is the role of aesthetics and what is the role of pragmatics and how do they fit with each other? This is a kind of inquiry. Then I combine this inquiry with a different inquiry because Karl Marx came up with the idea of the theory of aestheticization of power. […] But AI is now getting into the emotional dimension in terms of understanding what kind of emotion this guy has, what is he like you to & how is his behavior being affected by his emotions. […] So, the Indian Journal of Artificial Intelligence and Law 16 psychological warfare is getting better and involves the use of aesthetics. I think is a very big topic. I’m glad you mentioned it, but it deserves a lot of time.” Artificial General Intelligence
Shri Rajiv elucidates: “So, you know, the thing is that AGI is not as far away as many people might think, or let’s just say there is no disconnect between AGI and non-AGI. Yet there’s much continuum. It will be gradual. It’s like, you’re climbing the steps towards AGI, but you’re climbing some steps – you are five steps [ahead], then you will be seven steps [ahead]. So,
you will be approaching it. […] The algorithms are learning faster than human child can learn. It takes a long time to train the child. It doesn’t take that long to train an algorithm. […] AGI is still at an academic stage, such that. It’s an open book, more or less a large part of it is quite open. […] But I’m concerned about things that are very pragmatic, which are very near-term, which are now becoming closed, which are not open source anymore.”

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AI & The Future of Power, Book review

Book Review: Artificial Intelligence and the Future of Power: 5 Battlegrounds

Rajiv Malhotra is an author of great intensity, intellectual scholarship, contemporary wisdom and supreme patriotism. His books are hard hitting commentaries on dangers lurking behind to weaken India’s position in the global order. In this most recent book, Malhotra picks the most talked about technology of Artificial Intelligence (AI) (and other modern technologies) and imaginatively portrays five battlegrounds which India should be aware of, if it wishes to pursue an ambitious course to attain global leadership in AI and harness it towards creating wealth and welfare for the nation. This scholarly
and deeply researched book takes a much-needed devil’s advocate approach to make powerful points and succeeds in communicating its message through a gripping narrative. Himself a distinguished expert in physics and computer science, Malhotra lends excellent credibility to the book with his impeccable command over the issues addressed in the book.
Malhotra uses the phrase Artificial Intelligence to refer to a whole gamut of
modern technologies sweeping across the globe: machine learning, big data analytics, data science, quantum computing, semiconductor technologies, nanotechnology, neuromorphic computing, robotics, 5G, smart manufacturing, and the like. He acknowledges these are distinct but AI brings them together in ways that give them a greater collective power.
The book has two parts to it: (1) Algorithm versus Being, (2) Battleground for India. Four battlegrounds are discussed in part 1: (a) The battle for jobs (chapter

2), (b) The battle for world domination (chapter 3), (c) The battle for agency
(chapter 4), (d) The battle for self (chapter 5). The final battle ‘The battle for
India’ constitutes part 2 of the book which comprises chapters 6 to 10.
Before launching compelling arguments for each battleground, Malhotra
provides an excellent overview of AI technologies in chapter 1; he first discusses fundamental advances such as machine learning, data analytics, and AI gadgets. Next he discusses AI applications ranging from healthcare and agriculture to education, military and financial services. Then, he touches upon the controversial issues surrounding AI such as (un)fairness, (lack of) accountability, (lack of) transparency, and (questionable) ethics. The remarkable aspect of chapter 1 is its ready accessibility to non-technical audience who have no familiarity with AI. This is a striking aspect of the entire book. Malhotra’s main argument is that AI has disrupted the equilibrium that existed in the global order in (1) economic development and jobs; (2) power and influence of nations; (3) human psychology; and (4) metaphysics. He calls each of these battlegrounds. The author sketches
out these battlefields in a systematic and comprehensive way, with an eye on every single detail. These battlegrounds have always existed but they were operating under a delicate equilibrium. AI has changed the game dramatically and the equilibrium is being dislodged leading to a chaotic state. A new equilibrium will inevitably be established and India
has to be fully aware of the forces at play and proactively shape its strategy in a brilliant and deeply technical way and invest massive resources to emerge as a leading global player. Countries like China and USA are furiously competing to shaping the new equilibrium and India may be left behind in a miserable way if it does not get its act together in a superfast mode. The book raises and deliberates upon many fundamental questions:
• There is a high probability that AI could trigger an unprecedented level of unemployment leading to social divide and instability, especially in a highly populous nation like India. How will India survive this tsunami which has already started hitting the country?

• With some countries investing massive resources into AI and modern technologies, will India be left far behind in the race despite its vast pool of young talent and how can this looming crisis be tackled?

• AI has started influencing human preferences, human emotions and human behaviour by accessing private data of individuals by offering popular and widely used services. Will this lead us to become slaves of technology with the control being transferred completely to technology
giants?

• Will AI lead to ‘digital dehumanisation’ by undermining the human concepts of free will and creativity in favour of artificially induced experiences? The above questions may appear to be hyperbolic but Malhotra presents them with deeply logical arguments and these questions cannot be dismissed at all. They are indeed questions that need to be debated fiercely, widely and scientifically to obtain a clear resolution and plan of action. The author is at his best in part 2 where he touches upon all issues underlying the battleground for India. He is really concerned that overpopulation, unemployment and poor education will make India especially vulnerable in the near future when technology giants will launch an onslaught to take control. Many of India’s industries still rely on and are over dependent on old and imported technologies. The developments in AI in India are subcritical and do not do justice to India’s vast potential. India
is seriously lagging behind USA and China in AI by at least a decade and the country is giving away its precious data assets to foreign countries. If the present trend continues, India will be left far behind and will find it impossible to catch up in the foreseeable future. The author even goes on to say that India could well end up as a ‘digital colony’ under the domination of AI superpowers like USA and China. The author exhorts India to wake up, scale up and move brilliantly to become a global superpower in AI.
This little book review captures only briefly the spirit of this superb and powerpacked offering from Malhotra. The book is timed perfectly – it raises technical, tactical, operational and strategic issues in nurturing AI and emerging technologies

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All Articles, Articles by Rajiv

सोशल मीडिया के प्रति लापरवाह नज़रिया

सोशल मीडिया के प्रति लापरवाह नज़रिया

चीन ने विदेशी सोशल मीडिया को प्रतिबंधित करके स्वयं के डिजिटल तंत्र का निर्माण किया। जबकि भारत, अमेरिकी सोशल मीडिया का सर्वश्रेष्ठ उपभोक्ता होने में गौरान्वित अनुभव करता है और दोनों बाहें पसार के उनका स्वागत करता है।

पिछले दिनों ट्रिटर, फेसबुक इत्यादि द्वारा डोनाल्ड ट्रम्प पर स्थायी रूप से लगाए गए निलंबन ने और वॉट्सऐप की नयी डेटा नीतियों पर हुई घोषणाओं ने अचानक ही भारतीयों को एक कटु सत्य से परिचित करवा दिया, कि विदेशी सोशल मीडिया (सामाजिक संचार माध्यम) पर निर्भर होने का अर्थ है अपने राष्ट्र की सुरक्षा पर संकट मोल लेना। परन्तु अभी भी इस विषय के सम्पूर्ण प्रयोजन को समझा नहीं गया है। अधिकांश बाद विवाद राजनैतिक सन्दर्भों से गठित है। जैसे वामपंथी बनाम दक्षिणपंथी, जिसमें ट्रम्प पर लगाए गए प्रतिबन्धको उनके विरुद्ध वामपंथियों के एक षड्यंत्र के रूप में देखा गया। दुर्भाग्यवश कई सामान्यतः बुद्धिमान, सार्वजनिक वक्ताओं ने भी इस बड़ी समस्या को अनदेखा कर दिया है कि भारत, संयुक्त राज्य 1 अमेरिका की, सोशल मीडिया कंपनियों का उपनिवेश बन गया है।

इस अंधेपन की नींव आर्टिफिशियल इंटेलिजेंस के दूरगामी प्रभाव को समझ पाने में भारतीयों की कमी है भारतीयों ने इस तकनीक के प्रमुख चालक के रूप में, सार्वजनिक और निजी डेटा की भूमिका को नहीं समझा है। भारतीयों को यह अति शीघ्र ही समझ लेना चाहिए कि आर्टिफिशियल इंटेलिजेंस एक हथियार है, जो कि उपयोग अनुसार मानव मन और बुद्धि का उचित या अनुचित रूप से विस्तार कर सकता है। बुद्धि का किसी के विरुद्ध उपयोग करने में कोई वामपंथ या दक्षिणपंथ जैसी बात नहीं है और आर्टिफिशियल इंटेलिजेंस तो इसी प्रसंग में मात्र एक बल वृद्धि करने का माध्यम है। भारतीयों की ए. आई के प्रति अतिसंवेदनशीलता का कारण मात्र वामपंथी बहुराष्ट्रीय कंपनियों तक ही सीमित नहीं है।

पिछले कुछ वर्षों के दौरान, जब में अपनी पुस्तक आर्टिफिशियल इंटेलिजेंस एंड द फ्यूचर ऑफ पावर’ को अंतिम रूप दे रहा था और जिसका अभी कुछ दिन पूर्व ही विमोचन हुआ है, मैंने कई सामाजिक बुद्धिजीवियों से तर्क किया कि जब भी वे किसी सोशल मीडिया वेबसाइट पर क्लिक करते हैं, तो उसी समय इन बड़ी बहुराष्ट्रीय टैंक कंपनियों की मशीन शिक्षा प्रणालियों उनके व्यक्तिगत जीवन में प्रविष्ट हो जाती हैं। प्रत्येक व्यक्ति के लाइक, डिसलाइक, टिप्पणियाँ और पोस्टस इन सभी आंकड़ों का उपयोग मनोभाव विश्लेषण के लिए किया जा रहा है। किसी भी ब्रांड, आध्यात्मिक मत, विचारधारा, सामाजिक समस्या, राजनीति इत्यादि को लेकर प्रत्येक व्यक्ति के क्या मनोभाव होते हैं? इसके द्वारा सोशल मीडिया मंच सुनिश्चित करते हैं कि वह रूचि अनुसार चुनिंदा संदेशों, पोस्ट्स और विज्ञापनों को ही आपके पास भेजें। उपभोक्ता द्वारा की गई प्रत्येक गतिविधि, ए.आई. तंत्र के व्यक्ति व्यवहार सम्बंधित मॉडल को और भी सशक्त बनाती है यह मॉडल्स समय के साथ व्यक्ति के व्यवहार का पूर्वानुमान लगाने और यहाँ तक कि उसको चालाकी से नियंत्रित करने में भी निपुण हो जाते हैं लाखों लोगों की भावनाओं, रुचिओं, अरुचिओं, प्राथमिकताओं और कमज़ोरियों के इस संज्ञानात्मक मानचित्र का निर्माण किया जा रहा है। इस कार्य को कई प्रकार से जैसे ध्वनि, चित्र, हस्तलिपि, बॉयोमीट्रिक्स, क्रय की लतों, पारस्परिक संचारों इत्यादि के माध्यमों से किया जा रहा है। ए.आई. शोधकर्ताओं ने इन भविष्य सूचक मॉडलों को न केवल व्यक्ति विशेष के लिए ही निर्मित किया है अपितु समुदायों, संस्कृतियों और राष्ट्रों के लिए भी निर्मित किया है। इस प्रकार के मॉडल्स व्यक्ति एवं समुदायों की विशिष्ट आदतों या प्रवृत्तियों का लाभ उठाकर उनका प्रयोग प्रतिक्रियाओं के पूर्वानुमान एवं उनका कुशलतापूर्वक परिवर्तन करने में या किसी समूह पर प्रभाव डालने के लिए कर रहे हैं। ये मनोवैज्ञानिक प्रालेख, सोशल मीडिया मंचों को ऐसे हथियारों से सज्जित करते हैं जिनके द्वारा ये किसी भी व्यक्ति की निजी मनोवृति को कुशलतापूर्वक परिवर्तित कर सकते हैं। किन्तु ये सब किस उद्देश्य के लिए? जिनके पास भी इस मंच का नियंत्रण है, उनको लाभ पहुंचाने के लिए लाभार्थी स्वयं डिजिटल मंच भी हो सकते हैं, जैसे ट्रिटर, फेसबुक, गूगल या इनके व्यावसायिक ग्राहक — विज्ञापक, राजनैतिक पदाभिलाषी या कोई अन्य, जो भी किन्हीं पूर्व निर्धारित लोगों को प्रभावित करने के इच्छुक हों और इसके लिए पैसा दें सकें फेसबुक, यूट्यूब एवं ट्विटर उपभोक्ताओं को विभिन्न प्रकार के अनुभव प्रदान करते हैं जिनको अस्वीकार करना उनके लिए अत्यंत कठिन होता है फेसबुक की कूटनीति, लोगों की भावनात्मक लालसाओं को बढ़ावा देती है और उनको विचलित करके ये समझने में असक्षम बना देती है कि वे उत्साहित होकर अपनी व्यक्तिगत जानकारी उनको सौंप रहे हैं, और ऐसा करके वे डिजिटल मंचों को और सशक्त बना रहे हैं। अधिकांश उपभोक्ता ये समझ नहीं पाते और अपनी सामाजिक आवश्यकताओं की ऑनलाइन आपूर्ति करने के चक्कर में इसके

दीर्घकालीन परिणामों से भी अनभिज्ञ रह जाते हैं।

विदेशी कॉपरेशनों में इतनी अपरिमित शक्तियों के निहित होने से भारत विरोधी समूह – जिनको मैंने भारत विखंडन शक्तियों का नाम दिया है और भी सुनियोजित हो रहे हैं। भारत विखंडन शक्तियाँ, अपने लक्ष्य की पूर्ती के लिए ए.आई. का प्रयोग करके भारतीयों को मनोवैज्ञानिक रूप से विभाजित कर कई प्रतिपक्षी छावनियाँ निर्मित कर रही हैं और तत्पश्चात इनको आपस में लड़वाना चाहती हैं। इनका लक्ष्य, सम्पूर्ण राष्ट्र में भी इसी प्रकार के मतभेद और द्वंद्व उत्पन्न करना है। एआई एक बल गुणक है जिसका प्रयोग राष्ट्र, राजनैतिक दलों एवं समाज की एकता को क्षीण करने हेतु किया जा सकता है। चतुराई से किसी भी व्यक्ति के व्यवहार का गूढ़ अध्ययन करके एवं उसे असत्य समाचार देके, उसकी मनोवृत्ति और सामाजिक मान्यताओं को परिवर्तित किया जा सकता है। इसके राष्ट्रीय सुरक्षा के दृष्टिकोण से गंभीर परिणाम हो सकते हैं।

फिर भी, भारतीय विचारक, अज्ञानता एवं अस्वीकारिता में जी रहे हैं। इन सभी आशंकाओं के पश्चात भी, भारतीय इस बात को लेकर किंचित भी चिंतित नहीं दिखाई पड़ते कि विदेशी डिजिटल मंच करोड़ों लोगों पर सम्पूर्ण रूप से भावनात्मक नियंत्रण कर लेंगे। भारतीय समाजशास्त्रिओं, सरकारी अधिकारियों, न्याय विशेषज्ञों एवं शिक्षा विशेषज्ञों ने एआई को पूर्णतया जाना ही नहीं है। विडम्बना यह है कि भारतीय सामाजिक बुद्धिजीवी, सोशल मीडिया के सितारे, पत्रकार एवं राजनैतिक तर्कशास्त्री ये सभी भारत को पुनः उपनिवेश बनाने में लिप्त डिजिटल संचार मंचों के समर्थन में खड़े हैं। क्योंकि ये इन विदेशी सोशल मीडिया मंचों से ही अपनी पहचान बनाते हैं एवं अपने व्यक्तित्व के बारे में डींगें हाँकते हैं। इनकी यह प्रसिद्धि एक बनावटी नींव पर आधारित होती है और जिसके तार दूर स्थानों से नियंत्रित किये जाते हैं। चीन ने विदेशी सोशल मीडिया को प्रतिबंधित करके स्वयं के डिजिटल तंत्र का निर्माण किया। जब कि भारत, अमेरिकी सोशल मीडिया का सर्वश्रेष्ठ उपभोक्ता होने में गौरान्वित अनुभव करता है और दोनों बाहें पसार के उनका स्वागत करता है। भारत स्वयं के विक्रय के लिए प्रस्तुत है! इसमें सर्वप्रथम आने के लिए भारत में, अचानक भगदड़ आरम्भ हो चुकी है।

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Insights: A Dharma Perspective on Artificial Intelligence by Rajiv Malhotra

Artificial Intelligence has become the foundation for what is called the Fourth Industrial Revolution. No doubt, this will bring amazing benefits to humanity, just as the previous industrial revolutions did, and much has been written on this aspect, almost portraying AI as a sort of Holy Grail. However, one must balance such utopian views with serious issues and challenges that the new technology brings in its wake.

Many of these challenges are generic and applicable to all traditions and faiths across the board – such as the loss of jobs in several categories. But there are also faith-specific challenges that need to be on the table for conversations with mutual respect. At the same time, there are also likely to be faith-specific positive consequences of AI.

Rather than the populist “all religions are the same” approach, it is far more honest to acknowledge the diversity of faiths and relate to each other with mutual respect. The worldview of each tradition is the result of its subjective experience, and none can claim the universalism that would justify its imposition on others. This article adopts the posture of difference with mutual respect among faiths.

With this spirit, I am adopting the Dharma lens for discussing the social impact of AI. I will show that Artificial Intelligence is far from being neutral in its treatment of all faiths. There are two major points that make the impact on Dharma fundamentally different from the corresponding impact on the Abrahamic religions: the absence of a single historical book given the same kind of absolute status as the Bible or Qur’an, and the deep impact of colonization.

The Absence of a Single Book

Dharma is not based on one book that is historically unique, but on the human experiences of exemplars in higher states of consciousness. This has both advantages and disadvantages. A benefit is that such a tradition does not get frozen in time and boxed into the rigid walls of some dogma that is historically fixated. Since history cannot be altered, any absolute truth ground in a historical singularity becomes inflexible. Dharma is based not on one book but a library of works from individuals who attained higher states – like the Buddha and the rishis. This gives it much more room to evolve, adapt and negotiate its worldview in each new epoch.

However, a serious pragmatic disadvantage is that in the absence of the one book-based absolutism, Dharma can become fragmented into numerous groups with divergent claims of truth. This disadvantage turns into vulnerability in the face of AI, because algorithms can be trained by their owners depending on the social-political preferences they wish to proliferate. I am often asked, “Which version of Hindu Dharma do you want to advocate?” Even though I have explained what unifies all Dharma in considerable detail in my books, this can challenge the masses and AI can be used to create a wedge among the followers of Hindu Dharma by training the AI algorithms using different texts and interpretations.

The Deep Impact of Colonialization on Dharma Training Texts

The second issue concerns the impact of a thousand years of colonization, and this deserves detailed treatment. Algorithms are fundamentally biased because of the way they are trained. An analogy with the education of a child is useful. The training of a child depends on the type of exposure from parents, school, media and the type of reading it does. What the child is taught as true or false includes many subjective aspects and these shape its belief systems and worldviews. Likewise, in the case of artificial intelligence, the data used to train is especially important in shaping what the algorithm considers as right and wrong, and a worthy outcome. African Americans have complained that there is bias against them in many of the AI systems because these were trained on Whites considered normal and Blacks as something of an aberration from the norm. Similarly, feminists and LGBTQA people have complained that their members are considered inferior to males and straight people, respectively. This is because the datasets used for training algorithms have been dominated by people of certain types and excluded others.

It is important to examine the same issues of bias concerning faith-based groups. For instance, I am unaware of any training of algorithms using texts and interpretations from the Dharma traditions. Wikipedia is a common dataset for training algorithms because it is assumed to be the result of a democratic process in which all members of the public participate equally. But this is simply not true. Wikipedia’s editors have a hierarchy of privileges, and many of its entries concerning Dharma are outright biased because they are based on Western Indology from the colonial era. When a machine is trained using Wikipedia as a primary dataset, it contains the same biases as Wikipedia.

Because of the colonial past, a large number of Indian texts were translated and interpreted under the supervision of rulers who were outside the Dharma tradition. Initially, the influence of Muslims was felt in the public discourse in India. But the foreign influence was much heavier during the colonial times when Europeans (who called themselves Orientalists), started the systematic interpretation of Sanskrit texts, partly because they assumed Sanskrit was the heritage of European languages by the so-called Aryans. Therefore, from the late 1700s and throughout the 1800s, the study of Sanskrit and its seminal texts became a thriving academic discipline across Europe. The effect of this was lasting: Almost all present day works on Dharma texts in English are based on frameworks established by scholars who were not practitioners but outsiders. Sometimes they had vested interests and motives, and at other times their biases became incorporated innocently and unconsciously in their works. Regardless of the causes, the effect has been that the corpus of Western Indological works today appear unacceptable to most experts from within the Dharma tradition. In fact, decolonizing India studies and Indology is a major movement of Hindus today (for which they often get branded as nationalists).

Thus, whether you use Wikipedia or any Indological work for training an algorithm, the effect can be biased. This can range from outright nonsensical and blatant falsehoods to more subtle and nuanced prejudices.

A good example of such academically generated biases would be the interpretation of the word swastika. This is an old term from classical Sanskrit that has nothing to do with its modern distortion resulting from the unfortunate misappropriation by the Nazis. In the Dharma tradition, swastika is a highly revered term found in Hindu, Buddhist, Jain, and Sikh traditions and found in houses of worship in all these traditions. Swastika refers to auspiciousness, good luck, positive wishes especially for a new beginning, and has nothing to do with the horrible interpretation given by the Nazis. But when an algorithm is trained using Western writings, the swastika becomes associated with violence and fascism. Posts containing the word or image of swastika often get banned. However, if an algorithm was trained in India, it would notice that the swastika is publicly displayed on shops, trucks, billboards, and used as a brand on products from matchboxes to other consumer goods.

Related to the word swastika is the word Aryan. It too has been misinterpreted by western Indology. There are no Aryan people as a race. In fact, there is no such word in Sanskrit. The correct Sanskrit word is arya, without the ‘n’. Arya is an adjective for nobility, and describes people who are courageous, possess good character and high standards. Anyone can be an arya regardless of race or faith. The error is equivalent to interpreting ‘tennis player’ as a race, instead of a description of anyone who plays that game. The mistranslation of the term arya (noble quality) to Aryan (race) was to solve serious identity problems in Germany. Thus, a false theory was formulated that Sanskrit started somewhere close to Europe, presumably somewhere north of the Caspian Sea. The people who developed Sanskrit, according to this theory, were Aryans because the word Arya appeared in Sanskrit texts. The theory became that these Aryans were a race and they spread Sanskrit and it became adapted into German and other European languages. Though the pure form went to India, it was argued that the people of India were inferior because the Aryan invaders made the mistake of marrying the dark-skinned natives.

None of this makes any sense, nor is supported by any scientific evidence. There has never been any Aryan invasion into India contrary to the claims of Western Indology that culminated in Nazi scholarship. The British adopted this Aryan invasion theory because it suited their vested interests to divide Indians into those of the north (declared of Aryan origin) and a different race in the south of India called Dravidians. This helped their own divide-and-rule policies. Indian scholars have never accepted these theories. The problem of Aryan seen as racism has entered AI because algorithms are trained on texts and material based on the Aryan invasion theory. This continues to exacerbate the Aryan/Dravidian divisiveness as the racial substratum of Indian society.

The point I am making can be generalized to literally hundreds of Sanskrit words which have been misinterpreted. This is why I wrote a book called Sanskrit Non Translatables, with the purpose of explaining that certain Sanskrit words cannot be replaced in English because of the bias inherent in their translation into English.

While it appears that all languages and faiths suffer in the same way, the problem is particularly acute with respect to the Dharma traditions because of the colonial past. The Jews, despite long periods of persecution, always managed to control the scholarship of their tradition because it remained securely in the hands of their own authorities and exemplars. The Jewish diaspora took their own internal version to every corner of the world where Jews were practicing. Likewise, the Christians were never colonized to the extent of losing control of their own scholarship, in the same sense as the Dharma traditions were. The Muslims have also enjoyed the continuity of scholarship of their own tradition under their own rulers.

The same cannot be said of Hinduism, Buddhism, Sikhism or Jainism. These traditions suffered at the hands of invasions and conquests from foreign armies and empires that represented alien faiths. For the past 1000 years, large parts of India, including its main sacred sites and learning centers, were under the rule of non-Dharmic rulers, either Islamic or Christian. Only in the past 75 years, India has gained independence and been able to appoint its own rulers from within. This means that the custodians of the houses of worship, schools of learning, practices and rituals, and interpretations of texts were largely in the hands of foreigners for a period of centuries.

AI’s Impact on Human Agency

A serious AI related issue affecting all faiths is that as machines are getting smarter, people are getting relatively dumber because they are more dependent on machines. People are putting themselves on autopilot and relying on machines to tell them what is right and true. Wikipedia, Google search and the algorithms driving social media are defining the worldviews and ideas of truth. This amplifies their biases because knowledge is being crowd-sourced, and the relative popularity of opinions has become the criteria for deciding what to believe. And social media controlled by algorithms determines the popularity of different views. At the end of the day, artificial intelligence drives the algorithms, which in turn drive social media, and this ends up shaping popular beliefs, “facts”, and so on. From outright fake news all the way to so-called objective claims, there is nothing that has escaped the power of algorithms in shaping our minds.

When you combine all this with the trend of reduced attention span, superficial learning and the obsession to chase popularity, the result has been an impact on human agency. People are less grounded in knowledge based on the rigor of studies from authoritative sources and more likely to follow the bandwagons on social media. Traditional texts and exemplars including from various faiths, have been side-lined by popularity and power plays. Those faiths like the Dharma traditions that have fragmented structures of traditional authority and weak institutions are far more vulnerable to this onslaught of AI.

Furthermore, a lot of money is being made by modelling human psychology and decision making and selling these models for the benefit of advertisers. In fact, the multi trillion-dollar digital economy runs in large parts on advertising revenue, which looks for algorithms that can predict the behavior of different kinds of individuals and develops messages to achieve the desired outcomes. Therefore, human agency is being replaced by algorithmic power over decision making and this is resulting in a breakdown of faith and other systems that traditionally defined how people see the world and make choices. I have called this dumbing-down syndrome the ‘moronization’ of the masses. The figure below from my book, Artificial Intelligence and the Future of Power, illustrates this.

moronization-images

Figure 1: Moronization of the Masses

AI’s Impact on Selfhood

But the problem does not end here. I claim that there is a deeper battle for the very notion and experience of selfhood. In all the Dharma traditions, the ultimate Self is divine, but this divinity is masked by the ego masquerading as if it were the Self. The spiritual process and purpose of faith is to rediscover the divinity within oneself, which is called sat-chit-ananda. Many practices, including those of meditation, rituals, lifestyle choices, diet, worship etc. focus on this, but, unlike the Abrahamic traditions, the quest is not for an external god in the sky but for the presence of divinity within oneself. This means that the ultimate bliss one is seeking lies inside and one is advised to give up external sensory pleasures and gratifications based on the body.

Artificial Intelligence takes a person in the opposite direction from the Dharma traditional practices. It offers seductive sensations, gratifications, pleasures using augmented reality and virtual reality, different kinds of wearables and devices and eventually even implants which produce the right kind of hormones, neurological experiences etc. It is true that these advancements will also solve many mental and emotional health problems by diverting people from negative thoughts such as suicide and depression and replacing them with positive thoughts and memories artificially. However, such AI applications will not stop at merely solving mental health issues.

These very technologies are also the future of the entertainment industry, where virtual realities will take one to imaginary experiences, replacing real life. This means that, rather than the quest for selfhood within as advocated by the Dharma traditions, the push being given by these AI products and services will take the person away from inner quest and make them more extroverted towards externally supplied artificial pleasures. Worse still, some of these AI services will be controlled by others and not the individual. The lure will be too much to resist, and the result will be a two-tiered humanity: colonizers and colonized. The figure below from my book captures this changing face of identity.

Figure 2: Digital Identity

Thanks to the success of AI, the human being is being modelled by biology as a collection of algorithms. Each organ is a complex network of algorithms and parts can be broken into smaller units which are also mere algorithms. There is thus a web of algorithms that comprise the living creature. This means that, artificially one can create new algorithms to replace the older ones or interact and modify the older algorithms. This is the cutting edge of AI, where biology and neuroscience meet computer science. I refer to this battleground as Algorithm v/s Being.

The Dharma tradition considers the supreme being as having manifested as the living cosmos including all its creatures. Each of us is part of the supreme being and nothing is different in essence or separable from the supreme being. However, the success of artificial intelligence is a boost to the biological, materialistic, mechanical model of the human. The metaphysical debate between the side considering consciousness as primary and the opposing side of biological materialism as the ultimate reality of living creatures, is now being tilted in favor of biological materialism.

Prior to AI’s recent successes, there was a thriving consciousness movement that had arrived in the West since the 1960s mainly from Hindu and Buddhist yogis and gurus, including various Hindu teachers and the Dalai Lama. They brought the meditation tradition and other affiliated lifestyles as a part of what has now become a well-established consciousness evolution movement in the West. This movement is all about the Being evolving through us.

Competing against this is the algorithm marching forward, which is a mechanistic, silicon-based intelligence that can augment, enhance and ultimately substitute the being. This algorithm v/s the being is the battle for self. While it affects all faith traditions because they support the idea of soul as opposed to mere biology being the basis for the body, it is particularly acute in the case of the Dharma traditions because the quest for self-realization as opposed to God realization is given considerable emphasis in these traditions.

Issues in Common with Other Faiths

There are many other issues concerning AI and the faith traditions, which are already part of the conversation in most circles. For instance: Will AI take away jobs of those who are vulnerable? Will it make the rich richer and the poor poorer? Will certain weaker economies and societies that are unable to jump on the AI bandwagon become colonized by countries such as the USA and China in the same manner as the industrial revolution empowered England and France to become colonizers and reduced many countries to colonies? These are serious issues which bring all faiths together in making sure that the less empowered people have a seat at the table.

There are other issues challenging the faith leaders: Will AI based algorithms shape adjudication of disputes and legal proceedings, and if so, how would fairness be guaranteed towards those who are not technologically sophisticated or wealthy or powerful enough to be able to understand and much less negotiate the adverse impact of AI on them?

One partial solution is to learn from other areas of success in attaining fairness. This is about the pharma industry’s use of plants from poor countries to discover new drugs. Plant products sourced from places like India, Africa and Latin America became the basis for patents claimed by the world’s richest pharmaceutical companies, and similarly the diversity of data found in various parts of the world is the new source of wealth feeding the inexhaustible appetite of the AI giants today. In the case of the pharma industry, after decades of exploitation of the biological resources of the developing world, there were finally some UN laws passed that give a semblance of protection to the countries whose biological products and resources are harvested for modern medicine.

The same kind of discussion has not even started in the case of harvesting of big data. While there is a lot of discussion on issues like privacy and data rights, what has not been given special attention is the way data from poor countries is being sucked into the giant AI machines of the rich countries. This data is being turned into patented products which are sold back to the developing countries, whose data was used to create these products in the first place. Also, the control over algorithms lies with the powerful nations because the poor countries don’t have the knowledge or the hardware power to take control of AI in their own hands even if they had the wherewithal to do so.

I fear a world in which the AI enabled societies, both as nations and individuals, will control the rest of humanity and turn them into low level workers and consumers, by keeping them intoxicated and addicted to these new technologies. The time has come for people of all faiths to discuss their separate and shared concerns. We should forge an alliance of faiths to build faith-based principles that must be incorporated in any AI ethics going forward.

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ThinkEdu Conclave 2021: AI making Indians a little ‘dumber’ everyday, says author Rajiv Malhotra

Is the dependence on technology moronising a generation of Indians? At least Rajiv Malhotra, Founder of Infinity Foundation and author of Artificial Intelligence and the Future of Power believes so. A speaker at TNIE’s ThinkEdu Conclave 2021, Malhotra was in conversation with Author and Senior Journalist Kaveree Bamzai.

“Artificial Intelligence is making machines smarter. What is not well known is that people are becoming dumber. They’re becoming more dependent on Google Devta,” said Malhotra, adding, “People think that a person with more views and tweets and followers (on social media) will be the definition of truth. The traditional sources of authority are not important to this generation. They have outsourced the criteria of truth to social media.”

Touching upon the algorithm that runs social media, he said that the machine figures out what one likes and doesn’t like, based on a user’s clicks. “I call this the modernisation of the masses. People have outsourced their agencies. People have started running their lives on autopilot,” he said.

Explaining why his book says that the Indian public is “highly moronised”, he said that the perfect “moron” will let Netflix decide what movie he must watch and a network figure out whom he should date or where he should go on vacation.  “It is a dream come true for digital marketing people, digital politics, digital ideological warfare… all of them using AI as a weapon,” he said.

While he says that the millennials are the most affected by the phenomenon, he agrees that his generation has left behind  “a very messy world for the next generation”.

Malhotra said that Indians are so far behind in the fundamental principle of AI. “Yet, when you go to these companies, you will find a lot of Indian brains. But they are not working for India. Even Sundar Pichai is an employee at the end of the day,” he said.

But who is responsible for this? He holds the politicians, industrialists and the likes of the RSS activists accountable. He asked how the ones who talk about being the keepers of the Rashtra haven’t thought about AI for the last ten years.

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Importance of Military-Industrial-Academic Complex

Importance of Military-Industrial-Academic Complex

When I arrived in the United States in the early 1970s, to pursue a PhD in Physics and then shifted to Computer Science, one of the remarkable experiences I had was the extent to which my professors and many of the students were involved in US defense research even while they were at the University. This has been a widespread phenomenon. Many research grants are given by the Pentagon, Department of Defense and various other government agencies, which channel the energy and creativity of scholars and academics in science, technology and engineering. This gives an opportunity to advanced students in real-world experience rather than limiting them to theoretical and bookish knowledge. I was also given this opportunity, for which I had to get security clearance so that I could accompany my professor to meetings at the Pentagon. I have not heard of such opportunities in India at least not on a significant scale. Most of the professors in Indian higher education are working in silos on their own. Maybe a few of them get defense contracts, but these are small and not strategically significant.

Another thing I learnt in the US was that industry was also giving such grants to academia. It was common for some computer companies to give grants to professors and students. The pharmaceutical industry does the same, and business schools receive grants from famous brands. There is thus, a military-academic complex and an industry-academic complex; the third important link is the military-industry connection, completing the military-industrial-academic triangle.

The military-industrial complex in the US is a huge one. Some of the largest companies in the world are American defense contractors. The US private defense industry is over half a trillion dollars in annual turnover. Some of the large players in making advanced weapons include Lockheed Martin, Boeing, General Dynamics, Raytheon, Northrop Grumman, United Technologies, among others.

These days, many of these advanced defense contracts are in Artificial Intelligence, funded by the US the Department of Defense, CIA, and various branches of the armed forces. They also outsource research to universities. A big difference between DARPA (the US Defense Advanced Research Project Agency) and DRDO of India is that the latter’s resources are tied with manufacturing products, while DARPA’s role is that of a nodal agency co-ordinating and leading the research while mostof the manufacturing is done by the private industry. 

When I was at ITT as Corporate Vice-President, Charles Kao had pioneered fibre optics as a part of a defense contract and was later awarded the Nobel Prize. ITT also pioneered in research in speech recognition as a part of the F16 fighter jet project, so that hands-free communication could be set up for pilots. This speech recognition project also went on to have commercial applications in the marketplace, but it was initially done for the department of Defense. DARPA also invented the internet, which was initially called DARPANET, then renamed ARPANET. Once it became commercially available it was called the Internet. The origin of driverless cars is also due to a DARPA competition among academic teams racing in the desert in the Mojave Desert.Likewise, the invention of transistors for which Bell Labs won a Nobel Prize and which lies at the heart of semiconductors, was a DoD project. There is a long list of fundamental breakthroughs resulting from collaborations between defense, industry and academics. These days, the advances in robotic soldiers and cutting-edge technology, all involve DARPA’s grants and contracts. 

The same kind of military-industrial-academic complex also leads many research projects in China. In India, research by the defense department is not ahead of commercial applications. In fact, research is fragmented in separate domains. This is a serious issue.

Artificial intelligence is the latest field in which the Ministry of Defense must invest a lot of resources and make a comprehensive plan for all of India, beyond lmilitary applications. The strategy must include industry, society, culture and how the technology will make India a stronger nation. Nation-building using AI must include the unification and management of large numbers of diverse groups for mutual harmony.

Unfortunately, in India the work done by each of the military, academic and industrial camps is small. They are isolated and work in silos, which makes the output less synergistic. The research done in premier educational institutes of India is trivial compared with the United States because most of the higher institutes are involved in job-oriented teaching and campus politics with little original research. When a bright student enters a university in India, the practical projects available are of small scale and far from being cutting edge. Students don’t feel they belong to some big, futuristic project. Neither does Indian industry invest large amounts of money in academic research. At the same time, in order to justify and attract government and industry investments, academia too must transform itself to higher standards. The quality and quantity of research output, in terms of publications in world-class journals and patents, currently put out by India is abysmal, especially considering that India has a large number of professors and STEM students. 

In contrast, China adopted the American model. The Communist Party and People’s Liberation Army control all the R&D not only in the government’s labs but also in the private sector and academics. All the digital giant multinationals of China are deeply aligned with the government. While this heavy-handed approach will not be viable in India, India could certainly go the American way by using big grants and defense contracts to scale and amplify academic work and industrial manufacturing for defense. 

The Chinese government has not only actively recruited the best of Chinese and global technical talent, but also trained, encouraged and even sponsored their own youth to study and work in the US with the motive to return to China and work for their national cause. In contrast, most Indian students go abroad in their personal capacity, through family funding or scholarships and do not owe allegiance to their country in a formal sense. Most of them prefer to continue staying abroad and return only when they have visa issues. In contrast, almost 90% of the Chinese students who go abroad for higher degrees in frontier technology related domains, return home. A friend of mine, who is a professor in an ivy league in the US told me that if he has an application from a Chinese student and one from an equally qualified Indian student, he picks the Chinese because they have their own funding, whereas for the Indian he often has to arrange from his own funding sources. 

Another important difference is that the Chinese do not send their students abroad to pursue studies in the liberal arts whereas a large part of the Indian students going abroad end up studying things like political science,history and social sciences. This is done from a Breaking India lens, using Indology that was the product of colonial British and later American. They learn to use the global leftist view or a Judeo-Christian view of India, and not a native Indian view. One doesn’t find this happening with the Chinese. Few Chinese students go to USA to learn about China. The major journals on Chinese history, political thought, and society are all in Mandarin, controlled by the Chinese scholars and the Americans have to oblige them to have their work published on these platforms. In India, it is the other way. Even a native Sanskrit scholar from Benaras or Tirupati feels validated only if he goes to Oxford or Harvard or Columbia University or Chicago University. Therefore, even the knowledge production on Indian history and culture is not controlled in India.

India, thus, has a lot of serious changes to implement, especially related to the ways its youth is trained by ensuring resources are focussed on the STEM domains. It should focus on incentivising the return of its talent pool abroad, leverage the network and connections they make during their studies abroad for national advantage.           

My recent book Artificial Intelligence and the Future of Power discusses many of these problems India faces. I discuss the geopolitical impact of AI by the rise of China as the contender for the world’s foremost AI-based military-industrial complex. China has bet the proverbial farm on AI. No discussion on AI is complete without examining China’s role, and no evaluation of China’s future can fail to include AI at the center of its strategies. The clash between the US and China is this race for AI leadership because both countries’ current leaders know fully well that whoever dominates this technology stands to occupy the military and economic high ground. China is assuming a role similar to the erstwhile European colonisers and is in an all-out imperialistic clash with the US.

Apart from these two giants and a few other countries, most nations will lag increasingly as time goes by. It is virtually impossible to catch up in all the key elements of success that must be brought together—specialized AI hardware, big data resources turned into sophisticated assets, cutting-edge research, massive amounts of venture funding, and most importantly, visionary policies and implementation apparatus in government-industry-academic alliances.

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India has disappointing level of AI development: Book

India currently has a disappointing level of artificial intelligence (AI) development and it needs to embark on a rapid program to catch up, says a new book by researcher-author Rajiv Malhotra.

In “Artificial Intelligence And The Future Of Power: 5 Battlegrounds”, he argues that AI-driven revolution will have an unequal impact on different segments of humanity and for countries like India, where a large percentage of the population lacks the education that is vital to survive a technological tsunami, the adverse effects could be shattering.

There will be new winners and losers, new haves and have-nots, resulting in an unprecedented concentration of wealth and power. There is a real possibility that AI may trigger an unprecedented level of unemployment and precipitate social instability, he claims.

According to Malhotra, India is an important case study on the impact of AI because that is where all the battles come together into one large and complex battleground.

“Indian society has forsaken its metaphysical roots in dharma to chase the Americanisation of artha (material pursuits) and kama (gratification of sensual desires). As a result, it is neither here nor there – having lost its traditional strengths both individual and collective, it is at best a poor imitation of the American dream,” he says.

Overpopulation, unemployment and poor education make India especially vulnerable, he says, adding many of its industries are technologically obsolete and dependent on imported technologies.

“India presently has a disappointing level of AI development and it needs to embark on a rapid program to catch up,” Malhotra writes in the book, published by Rupa Publications.

He also claims that India is not only lagging behind China in AI by at least a decade, but it also has routinely given away its unique data assets to foreign countries because of the ignorance of its leaders.

“If the present trajectory continues, India could be heading toward re-colonization, this time as a digital colony under the domination of the US and/or China,” he says.

Malhotra says AI is amplifying human ingenuity and is the engine driving the latest technological disruption silently shaking the foundations of society.

“My use of the term is not limited narrowly to what AI is specifically in the technical sense, but also includes the entire ecosystem of technologies that AI propels forward as their force multiplier. This cluster includes quantum computing, semiconductors, nanotechnology, medical technology, brain-machine interface, robotics, aerospace, 5G, and much more,” he says.

Malhotra uses AI as an umbrella term because it “leverages their development and synergises them”.

On the one hand, AI is the holy grail of technology; the advancement that people hope will solve problems across virtually every domain of our lives and on the other, it is disrupting a number of delicate equilibriums and creating conflicts on a variety of fronts, he argues.

Given the vast canvas on which AI’s impact is being felt, he says one needs a simple lens to discuss its complex ramifications in a meaningful and accessible way.

After several rounds of restructuring the book, Malhotra zeroed in on using the following key battles of AI as the organising principle.

“Artificial Intelligence plays a pivotal role in each of these disruptions, and each of these battlegrounds has multiple players with competing interests and high stakes: battle for economic development and jobs, power in the new world order, psychological control of desires and agency, metaphysics of the self and its ethics, and battle for India’s future,” he says.

These battles, he says, already exist but AI is exacerbating them and changing the game.

“In each case, the prevailing equilibriums are disintegrating, and as a result, creating tensions among the parties held in balance. We are entering an epoch of disequilibrium in which a period of chaos is inevitable. Eventually, however, a new equilibrium will be established, and a new kind of world will emerge,” he writes.

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India has disappointing level of AI development, need to catch up: Book

India currently has a disappointing level of artificial intelligence (AI) development and it needs to embark on a rapid program to catch up, says a new book by researcher-author Rajiv Malhotra.

In “Artificial Intelligence And The Future Of Power: 5 Battlegrounds”, he argues that AI-driven revolution will have an unequal impact on different segments of humanity and for countries like India, where a large percentage of the population lacks the education that is vital to survive a technological tsunami, the adverse effects could be shattering.

There will be new winners and losers, new haves and have-nots, resulting in an unprecedented concentration of wealth and power. There is a real possibility that AI may trigger an unprecedented level of unemployment and precipitate social instability, he claims.

According to Malhotra, India is an important case study on the impact of AI because that is where all the battles come together into one large and complex battleground.

“Indian society has forsaken its metaphysical roots in dharma to chase the Americanisation of artha (material pursuits) and kama (gratification of sensual desires). As a result, it is neither here nor there – having lost its traditional strengths both individual and collective, it is at best a poor imitation of the American dream,” he says.

Overpopulation, unemployment and poor education make India especially vulnerable, he says, adding many of its industries are technologically obsolete and dependent on imported technologies.

“India presently has a disappointing level of AI development and it needs to embark on a rapid program to catch up,” Malhotra writes in the book, published by Rupa Publications.

He also claims that India is not only lagging behind China in AI by at least a decade, but it also has routinely given away its unique data assets to foreign countries because of the ignorance of its leaders.

“If the present trajectory continues, India could be heading toward re-colonization, this time as a digital colony under the domination of the US and/or China,” he says.

Malhotra says AI is amplifying human ingenuity and is the engine driving the latest technological disruption silently shaking the foundations of society.

“My use of the term is not limited narrowly to what AI is specifically in the technical sense, but also includes the entire ecosystem of technologies that AI propels forward as their force multiplier. This cluster includes quantum computing, semiconductors, nanotechnology, medical technology, brain-machine interface, robotics, aerospace, 5G, and much more,” he says.

Malhotra uses AI as an umbrella term because it “leverages their development and synergises them”.

On the one hand, AI is the holy grail of technology; the advancement that people hope will solve problems across virtually every domain of our lives and on the other, it is disrupting a number of delicate equilibriums and creating conflicts on a variety of fronts, he argues.

Given the vast canvas on which AI’s impact is being felt, he says one needs a simple lens to discuss its complex ramifications in a meaningful and accessible way.

After several rounds of restructuring the book, Malhotra zeroed in on using the following key battles of AI as the organising principle.

“Artificial Intelligence plays a pivotal role in each of these disruptions, and each of these battlegrounds has multiple players with competing interests and high stakes: battle for economic development and jobs, power in the new world order, psychological control of desires and agency, metaphysics of the self and its ethics, and battle for India’s future,” he says.

These battles, he says, already exist but AI is exacerbating them and changing the game.

“In each case, the prevailing equilibriums are disintegrating, and as a result, creating tensions among the parties held in balance. We are entering an epoch of disequilibrium in which a period of chaos is inevitable. Eventually, however, a new equilibrium will be established, and a new kind of world will emerge,” he writes

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‘Artificial Intelligence and the Future of Power’ a grim wake-up call for India

With Artificial Intelligence helping “biological materialism sneak in through the back door”, the world is witnessing a real clash of civilisations with “the battle between algorithm and being” writes Rajiv Malhotra, an internationally acclaimed author and public intellectual, in this seminal deep dive into a phenomenon that is only partially visible, like an iceberg.

Lamentably however, most of India’s leaders, public intellectuals, media personalities, policy makers, think tanks and authors are “ignoring the dangers” that lie ahead, “living securely in their comfort zones with like-minded peers”, Malhotra, the founder of the Princeton-based Infinity Foundation that specialises in the field of civilisational studies, writes in “Artificial Intelligence and the Future of Power – 5 Battlegrounds” (Rupa).

Noting that China had created a vast ecosystem of domestic intellectual property in next generation technologies including AI, 5G, nanotechnology, robotics, Virtual/Augmented Reality, aerospace and biotechnology, Malhotra writes that all this while, “the brutal reality is that India’s newly minted billionaires were shortsighted – the products of jugaad and selfishness. They achieved instant wealth but failed to anticipate global trends. They became intoxicated with their status as popular icons that were glorified by the media and the government” and even received Padma awards “because they built personal fortunes even though they made precious little contribution toward nation-building”.

Until a decade ago, Malhotra notes, India’s tech giants had a strong lead in software development, many private and corporate fortunes were made, and Indians were justifiably proud of their advantage.

“It was touted as the superpower status. However, the country squandered its lead and allowed China to surpass it in AI and related technologies. Consequently, India has become dependent on the US and others for the latest technology needed in AI,” the author states.

‘Artificial Intelligence and the Future of Power’ a grim wake-up call for India.

Thus, while India may have recently clamped down on Chinese investments, this was more in retaliation for border tensions “and not a strategic shift in R&D emphasis. It is a defensive move that can at best prevent further Chinese investments to slow the spread of China’s influence. But this by itself does nothing to upgrade the global competitiveness of India’s products. The fact remains that while China is a major disruptor of the world order by using AI as a weapon, India is at the receiving end of this disruption and having to be reactive”, Malhotra maintains.

Disruption, in fact, is what this 486-page tome, with an extensive reference section, is all about, as it lists the five battlegrounds of the future in an AI-driven world: Economy, industry, education and jobs; Geopolitics and military – USA, China and India; Moronization of the masses – bowing down to the digital deities, i.e., Google-devta, Twitter-devta and Facebook-devta; Loss of selfhood to artificial emotions and gratifications – this is the crash of civilisation; and Stress-testing the Indian Rashtra.

At the bottom line, it raises a troubling question: Is the world headed toward digital colonisation by the US and China? Quite obviously, this should be of immense concern to India.

To this end, the book is in two parts – the first dealing with the four battlegrounds in 255 pages in the first part and the second part, all of 138 pages, focusing on Battleground India.

“India cannot afford further delay in coming to terms with the fact that the control of most big data (the raw material required to develop machine understanding of human desires and their artificial manipulation) and deep learning is effectively in the hands of companies based in the US or China.

“Americans primarily own the software algorithms , data bases and operating platforms; the hardware is mostly Chinese. India is at the mercy of their technologies. And the foreign owners of the AI technology and digital platforms have no legal accountability in India, nor do they have the interests of Indians at heart to the same extent as their vested interests in their home countries.”

Regretfully, the book says, India’s data policies “have been weak and have allowed the drain of its precious data assets. In some ways, India is slipping to become the world’s largest digital colony with lifestyles, discourses and commerce controlled by foreign digital giants like Google, Facebook, Twitter, Netflix, Amazon and Flipkart. The foreign organisations maintain a lead of one generation of technology, and India is forever trying to catch up”.

“This is causing social and political interventions in India with the use of AI-driven platforms whose strings are pulled and manipulated from abroad. Especially those who feel disenfranchised, or who are dysfunctional as productive members of society, are highly vulnerable to succumbing to AI-based digital platforms; such platforms offer feel-good free services in exchange for capturing their privacy and their agency,” Malhotra writes.

Noting that the present conditions are a “playground for the breaking India forces” that he has discussed in his work over a quarter of a century, Malhotra adds: “Their foreign nexuses are well-funded and AI savvy, have experience in the use of technologies for creating social upheavals, and their machine learning systems have been using Indian big data to build and test psychological models for digital manipulation.”

India’s fabric, the book says, “in its current state is fragile and demands an increasing amount of resource allocation merely to keep it from imploding. There is far too much reliance on soft power as the solution, but soft power is always contingent on hard power”.

The lesson to be learned from the “Ramayana” and the “Mahabharata” is precisely this: Lord Ram failed to convince Ravana using all the soft power at his disposal but had to end up using hard power to defeat him. Likewise, Sri Krishna in the “Mahabharata” tries hard to use soft power arguments to win over Duryodhana, but eventually had to advocate the use of hard power to fight till the end.

“Therefore, even the avataras have needed hard power after being unsuccessful in producing the dharmic outcome with soft power alone. Indian spiritualists and political leaders should understand this and stop over-playing the soft power hand. It has made India society wooly-headed and lazy, and caused the kshatriyata to atrophy,” Malhotra writes.

Still, all is not lost.

“I am presently writing a sequel to this book that gives concrete ideas for not merely catching up in AI innovation but also using India’s special capabilities to leapfrog ahead by ten to twenty years. In many ways, this book is intended to prepare the ground for the way ahead,” Malhotra concludes.

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Excerpt: ‘Artificial Intelligence and the Future of Power’ by Rajiv Malhotra

With every passing year, humans become more dependent on technology. That has several advantages but also some dangers, which Rajiv Malhotra reveals in his book, ‘Artificial Intelligence and the Future of Power’.
An internationally acclaimed author who has studied computer science and done extensive research on India’s history, Rajiv Malhotra has interesting insights on what artificial intelligence is doing to our nation and how it will affect us in the future. He looks into how artificial intelligence will alter every aspect of our lives, from an international, to national to a personal level.

Here is an excerpt of the book to give you an idea on it:
Excerpts from ‘Artificial Intelligence and the Future of Power’ by Rajiv Malhotra

The AI-based concentration of power has taken on a terrifying new aspect. When we think of global power, countries like the US, China, and Russia readily come to mind. But today, private companies are accumulating immense power based on their ability to leverage AI and big data as tools to influence, manipulate and even control the minds of people.

Some of these private companies may soon become more powerful than many nation-states, but the shift will not be obvious. They will not fly a flag or manage a currency (although some are attempting to launch their own cryptocurrency), and they will not wield military power, at least not directly. However, their unprecedented knowledge of people and things around the world, coupled with their ability to disrupt and alter the physical world and manipulate people’s choices, will lead to a new nexus of power. Such companies will decide who will, and who will not, be given access to this new form of power, and on what terms.

Not one Indian company is a player in this league. Most unfortunate is that a large number of talented Indians work for American and Chinese companies in an individual capacity, including in top executive positions, but not as owners. Indians who do own companies tend to sell their stake when the right offer comes along. Whenever innovative entrepreneurs anywhere in the world develop a promising breakthrough, digital giants or venture firms that serve as their proxies are waiting to buy them out. As a result, hundreds of instant millionaires are being created at the individual level, including many living in India.

I view this trend as the return of Britain’s East India Company, which started out in 1600 as a modest private company for the purpose of making profit from lucrative trade with India. Over its 250-year history, the East India Company became the world’s largest private business, amassing more wealth, income and military power than even its own British government. Despite being a private company, it became a colonial power—collecting taxes, operating courts, and running the military and other functions of state across many kingdoms within India. At the time, the East India Company had more ships, soldiers, money and territory under its control than any European government, though now it is remembered as a rogue machine. Since then, the lines between government and private companies have often blurred.

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