| Description |
1 online resource |
| Series |
Chapman & Hall/CRC artificial intelligence and robotics series |
|
Chapman & Hall/CRC artificial intelligence and robotics series.
|
| Contents |
Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgments -- Author -- 1. Introduction -- 1.1. Introduction -- 1.2. The AI Control Problem -- 1.3. Obstacles to Controlling AI -- 1.4. Defining Safe AI -- 1.5. On Governability of AI -- 1.6. Conclusions -- 1.7. About the Book -- References -- 2. Unpredictability -- 2.1. Introduction to Unpredictability -- 2.2. Predictability: What We Can Predict -- A Literature Review -- 2.3. Cognitive Uncontainability -- 2.4. Conclusions -- References -- 3. Unexplainability and Incomprehensibility |
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3.1. Introduction -- 3.2. Literature Review -- 3.3. Unexplainability -- 3.4. Incomprehensibility -- 3.5. Conclusions -- Notes -- References -- 4. Unverifiability -- 4.1. On Observers and Verifiers -- 4.2. Historical Perspective -- 4.3. Classification of Verifiers -- 4.4. Unverifiability -- 4.5. Unverifiability of Software -- 4.5.1. Unverifiability of Artificial Intelligence -- 4.6. Conclusions and Future Work -- Notes -- References -- 5. Unownability -- 5.1. Introduction -- 5.1.1. Proposals for Establishing Ownership -- 5.2. Obstacles to Ownership -- 5.3. Conclusions -- References |
|
6. Uncontrollability -- 6.1. Introduction -- 6.2. AI Control Problem -- 6.2.1. Types of Control Problems -- 6.2.2. Formal Definition -- 6.3. Previous Work -- 6.3.1. Controllable -- 6.3.2. Uncontrollable -- 6.4. Proving Uncontrollability -- 6.5. Multidisciplinary Evidence for Uncontrollability of AI -- 6.5.1. Control Theory -- 6.5.2. Philosophy -- 6.5.3. Public Choice Theory -- 6.5.4. Justice (Unfairness) -- 6.5.5. Computer Science Theory -- 6.5.6. Cybersecurity -- 6.5.7. Software Engineering -- 6.5.8. Information Technology -- 6.5.9. Learnability -- 6.5.10. Economics -- 6.5.11. Engineering |
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6.5.12. Astronomy -- 6.5.13. Physics -- 6.6. Evidence from AI Safety Research for Uncontrollability of AI -- 6.6.1. Value Alignment -- 6.6.2. Brittleness -- 6.6.3. Unidentifiability -- 6.6.4. Uncontainability -- 6.6.5. Uninterruptability -- 6.6.6. AI Failures -- 6.6.7. Unpredictability -- 6.6.8. Unexplainability and Incomprehensibility -- 6.6.9. Unprovability -- 6.6.10. Unverifiability -- 6.6.11. Reward Hacking -- 6.6.12. Intractability -- 6.6.13. Goal Uncertainty -- 6.6.14. Complementarity -- 6.6.15. Multidimensionality of Problem Space -- 6.7. Discussion -- 6.8. Conclusions -- Notes |
| Summary |
Delving into the deeply enigmatic nature of Artificial Intelligence (AI), AI: Unpredictable, Unexplainable, Uncontrollable explores the various reasons why the field is so challenging. Written by one of the founders of the field of AI safety, this book addresses some of the most fascinating questions facing humanity, including the nature of intelligence, consciousness, values and knowledge. Moving from a broad introduction to the core problems, such as the unpredictability of AI outcomes or the difficulty in explaining AI decisions, this book arrives at more complex questions of ownership and control, conducting an in-depth analysis of potential hazards and unintentional consequences. The book then concludes with philosophical and existential considerations, probing into questions of AI personhood, consciousness, and the distinction between human intelligence and artificial general intelligence (AGI). Bridging the gap between technical intricacies and philosophical musings, AI: Unpredictable, Unexplainable, Uncontrollable appeals to both AI experts and enthusiasts looking for a comprehensive understanding of the field, whilst also being written for a general audience with minimal technical jargon |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Dr. Roman V. Yampolskiy is a Tenured Associate Professor in the department of Computer Engineering and Computer Science at the Speed School of Engineering, University of Louisville. He is the founding and current director of the Cyber Security Lab and an author of many books including Artificial Superintelligence: a Futuristic Approach. During his tenure at UofL, Dr. Yampolskiy has been recognized as: Distinguished Teaching Professor, Professor of the Year, Faculty Favorite, Top 4 Faculty, Leader in Engineering Education, Top 10 of Online College Professor of the Year, and Outstanding Early Career in Education award winner among many other honors and distinctions. Yampolskiy is a Senior member of IEEE and AGI; Member of Kentucky Academy of Science, and Research Advisor for MIRI and Associate of GCRI |
| Subject |
Artificial intelligence.
|
|
artificial intelligence.
|
|
COMPUTERS / General
|
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COMPUTERS / Artificial Intelligence
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| Form |
Electronic book
|
| LC no. |
2023039358 |
| ISBN |
9781003846901 |
|
1003846904 |
|
9781003440260 |
|
1003440266 |
|
9781003846918 |
|
1003846912 |
|
