Artificial Intelligence And India
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| Author | : Rajiv Malhotra |
| Publisher | : Rupa Publications India Pvt Limited |
| Total Pages | : 522 |
| Release | : 2021-01-10 |
| Genre | : |
| ISBN | : 9789390356430 |
A recurrent debate surrounding AI concerns the extent of human work that could be replaced by machines over the next twenty years when compared to new jobs created by AI. Numerous reports have addressed this issue, reaching a wide range of conclusions. Experts consider it a reasonable consensus that eventually a significant portion of blue- and white-collar jobs in most industries will become obsolete, or at least transformed, to such an extent that workers will need re-education to remain viable. This percentage of vulnerable jobs will continue to increase over time. The obsolescence will be far worse in developing countries where the standard of education is lower.
| Author | : Kaushiki Sanyal |
| Publisher | : Oxford University Press |
| Total Pages | : 91 |
| Release | : 2020-06-12 |
| Genre | : Business & Economics |
| ISBN | : 0190992050 |
What is artificial intelligence (AI)? How did it evolve over the years and what is it going to look like in the future? What are the opportunities and risks associated with AI? Where does India stand among the global AI ecosystems? This book answers these questions and gives a bird's-eye view of the field of AI, with a special focus on India. In clear, jargon-free language it explains what is and, more importantly, what is not AI. It provides a well-rounded summary of the ongoing debates on ethics, regulation, bias, and data privacy surrounding the development and use of AI technology. Using up-to-date data, the book looks at India's contributions to and adoption of AI, as the country has a significant stake in the AI revolution as one of the fastest growing economies.
| Author | : OECD |
| Publisher | : OECD Publishing |
| Total Pages | : 152 |
| Release | : 2019-06-11 |
| Genre | : |
| ISBN | : 9264545190 |
The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.
| Author | : K.R. Chowdhary |
| Publisher | : Springer Nature |
| Total Pages | : 730 |
| Release | : 2020-04-04 |
| Genre | : Computers |
| ISBN | : 8132239725 |
Fundamentals of Artificial Intelligence introduces the foundations of present day AI and provides coverage to recent developments in AI such as Constraint Satisfaction Problems, Adversarial Search and Game Theory, Statistical Learning Theory, Automated Planning, Intelligent Agents, Information Retrieval, Natural Language & Speech Processing, and Machine Vision. The book features a wealth of examples and illustrations, and practical approaches along with the theoretical concepts. It covers all major areas of AI in the domain of recent developments. The book is intended primarily for students who major in computer science at undergraduate and graduate level but will also be of interest as a foundation to researchers in the area of AI.
| Author | : Erik J. Larson |
| Publisher | : Harvard University Press |
| Total Pages | : 321 |
| Release | : 2021-04-06 |
| Genre | : Computers |
| ISBN | : 0674983513 |
“Artificial intelligence has always inspired outlandish visions—that AI is going to destroy us, save us, or at the very least radically transform us. Erik Larson exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it. This is a timely, important, and even essential book.” —John Horgan, author of The End of Science Many futurists insist that AI will soon achieve human levels of intelligence. From there, it will quickly eclipse the most gifted human mind. The Myth of Artificial Intelligence argues that such claims are just that: myths. We are not on the path to developing truly intelligent machines. We don’t even know where that path might be. Erik Larson charts a journey through the landscape of AI, from Alan Turing’s early work to today’s dominant models of machine learning. Since the beginning, AI researchers and enthusiasts have equated the reasoning approaches of AI with those of human intelligence. But this is a profound mistake. Even cutting-edge AI looks nothing like human intelligence. Modern AI is based on inductive reasoning: computers make statistical correlations to determine which answer is likely to be right, allowing software to, say, detect a particular face in an image. But human reasoning is entirely different. Humans do not correlate data sets; we make conjectures sensitive to context—the best guess, given our observations and what we already know about the world. We haven’t a clue how to program this kind of reasoning, known as abduction. Yet it is the heart of common sense. Larson argues that all this AI hype is bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we are to make real progress, we must abandon futuristic talk and learn to better appreciate the only true intelligence we know—our own.
| Author | : Utpal Chakraborty |
| Publisher | : CRC Press |
| Total Pages | : 312 |
| Release | : 2022-05-26 |
| Genre | : Computers |
| ISBN | : 1000367886 |
This book presents the overall technology spectrum in artificial intelligence (AI) and the Fourth Industrial Revolution, which is set to revolutionize the world. It discusses their various aspects and related case studies from industry, academics, administration, law, finance, and accounting as well as educational technology. The contributors, who are experts in their respective fields and from industry and academia, focus on a gesture-recognition prototype for specially abled people; jurisprudential approach to AI and legal reasoning; automated chatbot for autism spectrum disorder using AI assistance; Big Data analytics and Internet of Things (IoT); role of AI in advancement of drug discovery; development, opportunities, and challenges of the Fourth Industrial Revolution; legal, ethical, and policy implications of AI; Internet of Health Things for smart healthcare and digital wellbeing; machine learning and computer vision; computer vision-based system for automation and industrial applications; AI-IoT in home-based healthcare; and AI in super-precision human brain and spine surgery. Buttressed with comprehensive theoretical, methodological, well-established, and validated empirical examples, the book covers the interests of a broad audience from basic science to engineering and technology experts and learners. It will be greatly helpful for CEOs, entrepreneurs, academic leaders, researchers, and students of engineering, biomedicine, and master’s programs in science as well as the vast workforce and students with technical or non-technical backgrounds. It also serves common public interest by presenting new methods to improve the quality of life in general, with a better integration into society.
| Author | : Thomas Wischmeyer |
| Publisher | : Springer Nature |
| Total Pages | : 391 |
| Release | : 2019-11-29 |
| Genre | : Law |
| ISBN | : 3030323617 |
This book assesses the normative and practical challenges for artificial intelligence (AI) regulation, offers comprehensive information on the laws that currently shape or restrict the design or use of AI, and develops policy recommendations for those areas in which regulation is most urgently needed. By gathering contributions from scholars who are experts in their respective fields of legal research, it demonstrates that AI regulation is not a specialized sub-discipline, but affects the entire legal system and thus concerns all lawyers. Machine learning-based technology, which lies at the heart of what is commonly referred to as AI, is increasingly being employed to make policy and business decisions with broad social impacts, and therefore runs the risk of causing wide-scale damage. At the same time, AI technology is becoming more and more complex and difficult to understand, making it harder to determine whether or not it is being used in accordance with the law. In light of this situation, even tech enthusiasts are calling for stricter regulation of AI. Legislators, too, are stepping in and have begun to pass AI laws, including the prohibition of automated decision-making systems in Article 22 of the General Data Protection Regulation, the New York City AI transparency bill, and the 2017 amendments to the German Cartel Act and German Administrative Procedure Act. While the belief that something needs to be done is widely shared, there is far less clarity about what exactly can or should be done, or what effective regulation might look like. The book is divided into two major parts, the first of which focuses on features common to most AI systems, and explores how they relate to the legal framework for data-driven technologies, which already exists in the form of (national and supra-national) constitutional law, EU data protection and competition law, and anti-discrimination law. In the second part, the book examines in detail a number of relevant sectors in which AI is increasingly shaping decision-making processes, ranging from the notorious social media and the legal, financial and healthcare industries, to fields like law enforcement and tax law, in which we can observe how regulation by AI is becoming a reality.
| Author | : Jaspreet Bindra |
| Publisher | : Portfolio |
| Total Pages | : 272 |
| Release | : 2019 |
| Genre | : Business & Economics |
| ISBN | : 9780670091010 |
Companies all over the world are being buffeted by new technologies, disruptive business models and start-up innovation. Business leaders know that they need to adopt these new technologies like blockchain, artificial intelligence and Internet of things, and transform their companies using them to keep pace with rapid customer and business environment changes. Therefore, there is an urgent need to understand the basic principles of digital transformation and the technology forces that enable this shift. The Tech Whisperer, as the name suggests, demystifies and simplifies emerging technologies like AI, blockchain, Internet of things, virtual reality, etc. and narrates how companies can employ these to drive their digital transformation. Jaspreet Bindra has been a leading practitioner and thought leader in digital transformation and technology. In his first book, he gives an engaging and forward-looking practitioner's view which can help business leaders, entrepreneurs and anyone looking to understand digital transformation and technology, and leverage them for their future success.
| Author | : J. Mark Munoz |
| Publisher | : Anthem Press |
| Total Pages | : 162 |
| Release | : 2022-01-11 |
| Genre | : Business & Economics |
| ISBN | : 1785279564 |
Artificial Intelligence, or AI, is set to redefine our day-to-day activities. Many companies across the globe are engaged in doing research on the application of AI in almost each and every aspect of our life. Many companies have already integrated AI in their manufacturing, supply chain, marketing and after sales operations, but there is a lot that needs to be done to capitalize the full potential of this technology. International Perspectives on Artificial Intelligence is an attempt to put together the work done across various countries on adapting and integrating Ai not only in organizations but also at individual and social levels.
| Author | : Jerry Kaplan |
| Publisher | : Yale University Press |
| Total Pages | : 256 |
| Release | : 2015-08-04 |
| Genre | : Technology & Engineering |
| ISBN | : 0300216416 |
An “intriguing, insightful” look at how algorithms and robots could lead to social unrest—and how to avoid it (The Economist, Books of the Year). After decades of effort, researchers are finally cracking the code on artificial intelligence. Society stands on the cusp of unprecedented change, driven by advances in robotics, machine learning, and perception powering systems that rival or exceed human capabilities. Driverless cars, robotic helpers, and intelligent agents that promote our interests have the potential to usher in a new age of affluence and leisure—but as AI expert and Silicon Valley entrepreneur Jerry Kaplan warns, the transition may be protracted and brutal unless we address the two great scourges of the modern developed world: volatile labor markets and income inequality. In Humans Need Not Apply, he proposes innovative, free-market adjustments to our economic system and social policies to avoid an extended period of social turmoil. His timely and accessible analysis of the promises and perils of AI is a must-read for business leaders and policy makers on both sides of the aisle. “A reminder that AI systems don’t need red laser eyes to be dangerous.”—Times Higher Education Supplement “Kaplan…sidesteps the usual arguments of techno-optimism and dystopia, preferring to go for pragmatic solutions to a shrinking pool of jobs.”—Financial Times
