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Artificial Intelligence : Evolution, Ethics and Public Policy.

By: Contributor(s): Material type: TextPublisher: Oxford : Taylor & Francis Group, 2018Copyright date: ©2019Edition: 1st edDescription: 1 online resource (165 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780429865411
Subject(s): Genre/Form: DDC classification:
  • 006.3
Online resources:
Contents:
Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- List of illustrations -- Preface -- Acknowledgements -- Introduction -- Is the current popularity of AI only hype without substance? -- What next? -- The top myths of AI -- Understanding and debate is the only way forward -- Notes -- 1. AI-The history and evolution -- Intelligence: There is still no agreement on its definition -- Natural intelligence vs. artificially created intelligence -- The beginning of AI -- 1960s -- 1970-80s -- 1990s -- Scientific development is rarely linear: The AI winters -- The 21st century: Rise of big data, cloud computing and AI-ML tools -- Thinking like a child -- AI can be a source of BIG positive change in the world -- AI is unlike anything else we have seen before -- Notes -- 2. Why AI is unlike any other technology -- The human brain is complex but we have begun to figure out how it works -- Recent developments in brain research: Spectacularly groundbreaking -- Machines that (or who?) can think -- AI: The building blocks -- The types of possible AI -- AI: Interaction of many academic disciplines unlike other technology -- AI is for decision-making -- other technology is about better execution -- Other technologies handle predefined problems vs. AI handling unstructured challenges -- AI-based industries: Winner takes all -- Can AI be creative? -- The artists -- Deep dreaming -- Mind meld -- Notes -- 3. Emerging danger of AI-induced mass unemployment -- Automation is already a giant job killer -- Smarter machines that can do more -- What does history tell us? -- How will AI impact jobs? -- The impact is not just limited to the developed world -- Will your money be managed by machines? -- Millions of workers will face challenges -- Notes -- 4. The role of cheap capital.
Masters of the Universe: Always searching for the right balance -- Inflation targeting: What is too high and what is too low? -- Are there limits to the laws of money? -- Can low interest rates stimulate jobs? -- Why is the "don't worry about losses" strategy of start-ups and ecommerce companies sensible? -- Cheap capital, factors of production, and is there a linkage with AI? -- Faster growth of AI: Unintended consequence of cheap capital? -- Notes -- 5. Ethics of AI and the need for regulation -- Regulation may not be the right answer, but "No Regulation" is no answer -- Lessons in regulation from the financial crisis of 2008 -- As long as the music is playing, you've got to get up and dance: Chuck Prince -- AI regulator is in place -- AI regulator is not in place -- Today, AI lacks a balanced and well-researched critical opinion -- AI: The legal and ethical dilemmas -- Use of AI for profiling: How fair is the discrimination? -- The IEEE Initiative on Ethics of Autonomous and Intelligent Systems -- Notes -- 6. Policy response has to evolve in parallel -- The urgent need to prepare for more AI and its impact -- But, not everyone is on the same page -- Peter H. Diamandis, Chairman of the X Prize Foundation and the coauthor of Abundance: The Future Is Better Than You Think -- Are we picking pennies in front of a steamroller? -- Agent Orange and you may not always be happy with what you invent -- AI and humans: Relationship is not as simple as "master and servant" -- There is a need to have a comprehensive policy on AI -- How AI and jobs could be linked: The lessons from industrialization -- The protection of information: Need for a safe and secure environment? -- Big changes in big systems: Is AI at the tipping point? -- Notes -- 7. The Asilomar Principles for Artificial Intelligence -- AI and the need for guiding principles.
Asilomar: Will it do to AI what it did to DNA? -- Asilomar Principles for AI -- Asilomar Principles on AI ethics and values -- Asilomar Principles related to longer-term issues of AI -- Artificial General Intelligence -- Asilomar Principles: Good starting point but there is a long way to go -- Notes -- 8. Discussion on AI needs to become mainstream -- The elephant in the room -- The Brexit vote: Unexpected result or a retaliation post suffering? -- Election of Donald Trump: The ordinary American strikes back -- The reversal (if any) of globalization is because of adverse public opinion -- Jean-Claude Juncker, the elephant chart, and why change is not good for everyone -- The rising gap between productivity and compensation -- Globalization has not benefited everyone even in developed countries -- AI has not been part of the mainstream discussions yet -- Is it time for AI politicians? -- Notes -- Epilogue -- George Orwell, Animal Farm, and AI -- We may not have all answers but AI is different and disruptive -- AI and parallels with nuclear technology -- Would you want Mark Zuckerberg to be the next US President? -- Impact of AI on human emotions and human relationships -- Abraham Maslow's theory of human needs -- The shift from REAL to VIRTUAL and impact on psychological health -- Public debate and popular opinion have an irreplaceable role -- Notes -- Index.
Summary: This book traces the evolution of AI and analyses how AI is being driven by 'capital' as the only 'factor of production' and its consequences for the global political economy. It will be essential reading for researchers and students of digital humanities, politics, economics, science and technology studies, physics, and computer science.
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Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- List of illustrations -- Preface -- Acknowledgements -- Introduction -- Is the current popularity of AI only hype without substance? -- What next? -- The top myths of AI -- Understanding and debate is the only way forward -- Notes -- 1. AI-The history and evolution -- Intelligence: There is still no agreement on its definition -- Natural intelligence vs. artificially created intelligence -- The beginning of AI -- 1960s -- 1970-80s -- 1990s -- Scientific development is rarely linear: The AI winters -- The 21st century: Rise of big data, cloud computing and AI-ML tools -- Thinking like a child -- AI can be a source of BIG positive change in the world -- AI is unlike anything else we have seen before -- Notes -- 2. Why AI is unlike any other technology -- The human brain is complex but we have begun to figure out how it works -- Recent developments in brain research: Spectacularly groundbreaking -- Machines that (or who?) can think -- AI: The building blocks -- The types of possible AI -- AI: Interaction of many academic disciplines unlike other technology -- AI is for decision-making -- other technology is about better execution -- Other technologies handle predefined problems vs. AI handling unstructured challenges -- AI-based industries: Winner takes all -- Can AI be creative? -- The artists -- Deep dreaming -- Mind meld -- Notes -- 3. Emerging danger of AI-induced mass unemployment -- Automation is already a giant job killer -- Smarter machines that can do more -- What does history tell us? -- How will AI impact jobs? -- The impact is not just limited to the developed world -- Will your money be managed by machines? -- Millions of workers will face challenges -- Notes -- 4. The role of cheap capital.

Masters of the Universe: Always searching for the right balance -- Inflation targeting: What is too high and what is too low? -- Are there limits to the laws of money? -- Can low interest rates stimulate jobs? -- Why is the "don't worry about losses" strategy of start-ups and ecommerce companies sensible? -- Cheap capital, factors of production, and is there a linkage with AI? -- Faster growth of AI: Unintended consequence of cheap capital? -- Notes -- 5. Ethics of AI and the need for regulation -- Regulation may not be the right answer, but "No Regulation" is no answer -- Lessons in regulation from the financial crisis of 2008 -- As long as the music is playing, you've got to get up and dance: Chuck Prince -- AI regulator is in place -- AI regulator is not in place -- Today, AI lacks a balanced and well-researched critical opinion -- AI: The legal and ethical dilemmas -- Use of AI for profiling: How fair is the discrimination? -- The IEEE Initiative on Ethics of Autonomous and Intelligent Systems -- Notes -- 6. Policy response has to evolve in parallel -- The urgent need to prepare for more AI and its impact -- But, not everyone is on the same page -- Peter H. Diamandis, Chairman of the X Prize Foundation and the coauthor of Abundance: The Future Is Better Than You Think -- Are we picking pennies in front of a steamroller? -- Agent Orange and you may not always be happy with what you invent -- AI and humans: Relationship is not as simple as "master and servant" -- There is a need to have a comprehensive policy on AI -- How AI and jobs could be linked: The lessons from industrialization -- The protection of information: Need for a safe and secure environment? -- Big changes in big systems: Is AI at the tipping point? -- Notes -- 7. The Asilomar Principles for Artificial Intelligence -- AI and the need for guiding principles.

Asilomar: Will it do to AI what it did to DNA? -- Asilomar Principles for AI -- Asilomar Principles on AI ethics and values -- Asilomar Principles related to longer-term issues of AI -- Artificial General Intelligence -- Asilomar Principles: Good starting point but there is a long way to go -- Notes -- 8. Discussion on AI needs to become mainstream -- The elephant in the room -- The Brexit vote: Unexpected result or a retaliation post suffering? -- Election of Donald Trump: The ordinary American strikes back -- The reversal (if any) of globalization is because of adverse public opinion -- Jean-Claude Juncker, the elephant chart, and why change is not good for everyone -- The rising gap between productivity and compensation -- Globalization has not benefited everyone even in developed countries -- AI has not been part of the mainstream discussions yet -- Is it time for AI politicians? -- Notes -- Epilogue -- George Orwell, Animal Farm, and AI -- We may not have all answers but AI is different and disruptive -- AI and parallels with nuclear technology -- Would you want Mark Zuckerberg to be the next US President? -- Impact of AI on human emotions and human relationships -- Abraham Maslow's theory of human needs -- The shift from REAL to VIRTUAL and impact on psychological health -- Public debate and popular opinion have an irreplaceable role -- Notes -- Index.

This book traces the evolution of AI and analyses how AI is being driven by 'capital' as the only 'factor of production' and its consequences for the global political economy. It will be essential reading for researchers and students of digital humanities, politics, economics, science and technology studies, physics, and computer science.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2025. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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