Artificial intelligence safety and security / edited by Roman V. Yampolskiy, Computer Engineering and Computer Science, Speed School of Engineering, University of Louisville.

Contributor(s): Yampolskiy, Roman V [editor.]Material type: TextTextSeries: Chapman & Hall/CRC artificial intelligence and robotics seriesPublisher: Boca Raton : CRC Press/Taylor & Francis Group, [2019]Edition: First editionDescription: xxix, 443 pages : illustrations ; 25 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9780815369820 (paperback : acidfree paper); 9781138320840 (hardback : acidfree paper)Subject(s): Automation -- Safety measures | Automation -- Security measures | Artificial intelligence -- Safety measures | Artificial intelligence -- Moral and ethical aspectsDDC classification: 006.3, ART LOC classification: T59.5 | .A76 2019
Contents:
Chapter 1: Why the Future Doesn’t Need Us (Page-1), Chapter 2: The Deeply Intertwined Promise and Peril of GNR (Page-21),Chapter 3: The Basic AI Drives (Page-47),Chapter 4: The Ethics of Artificial Intelligence (Page-57),Chapter 5: Friendly Artificial Intelligence: The Physics Challenge (Page-71),Chapter 6: MDL Intelligence Distillation: Exploring Strategies for Safe Access to Superintelligent Problem-Solving Capabilities (Page-75),Chapter 7: The Value Learning Problem (Page-89),Chapter 8: Adversarial Examples in the Physical World (Page-99),Chapter 9: How Might AI Come About?: Different Approaches and Their Implications for Life in the Universe (Page-113),Chapter 10: The MADCOM Future: How Artificial Intelligence Will Enhance Computational Propaganda, Reprogram Human Culture, and Threaten Democracy … and What can be Done About It (Page-127),Chapter 11: Strategic Implications of Openness in AI Development (Page-145),Chapter 12: Using Human History, Psychology, and Biology to Make AI Safe for Humans (Page-167),Chapter 13: AI Safety: A First-Person Perspective (Page-199),Chapter 14: Strategies for an Unfriendly Oracle AI with Reset Button (Page-207),Chapter 15: Goal Changes in Intelligent Agents (Page-217),Chapter 16: Limits to Verification and Validation of Agentic Behavior (Page-225),Chapter 17: Adversarial Machine Learning (Page-235),Chapter 18: Value Alignment via Tractable Preference Distance (Page-249),Chapter 19: A Rationally Addicted Artificial Superintelligence (Page-263),Chapter 20: On the Security of Robotic Applications Using ROS (Page-273),Chapter 21: Social Choice and the Value Alignment Problem (Page-291), Chapter 22: Disjunctive Scenarios of Catastrophic AI Risk (Page-315),Chapter 23: Offensive Realism and the Insecure Structure of the International System: Artificial Intelligence and Global Hegemony (Page-339),Chapter 24: Superintelligence and the Future of Governance: On Prioritizing the Control Problem at the End of History (Page-357),Chapter 25: Military AI as a Convergent Goal of Self-Improving AI (Page-375),Chapter 26: A Value-Sensitive Design Approach to Intelligent Agents (Page-395), Chapter 27: Consequentialism, Deontology, and Artificial Intelligence Safety (Page-411),Chapter 28: Smart Machines ARE a Threat to Humanity (Page-423).
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Item type Current location Home library Shelving location Call number Status Notes Date due Barcode Item holds
Book Book Military College of Signals (MCS)
Military College of Signals (MCS)
General Stacks 006.3,ART (Browse shelf) Available Almirah Fresh No.43, Shelf No.6 MCS38303
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Chapter 1: Why the Future Doesn’t Need Us (Page-1), Chapter 2: The Deeply Intertwined Promise and Peril of GNR (Page-21),Chapter 3: The Basic AI Drives (Page-47),Chapter 4: The Ethics of Artificial Intelligence (Page-57),Chapter 5: Friendly Artificial Intelligence: The Physics Challenge (Page-71),Chapter 6: MDL Intelligence Distillation: Exploring Strategies for Safe Access to Superintelligent Problem-Solving Capabilities (Page-75),Chapter 7: The Value Learning Problem (Page-89),Chapter 8: Adversarial Examples in the Physical World (Page-99),Chapter 9: How Might AI Come About?: Different Approaches and Their Implications for Life in the Universe (Page-113),Chapter 10: The MADCOM Future: How Artificial Intelligence Will Enhance Computational Propaganda, Reprogram Human Culture, and Threaten Democracy … and What can be Done About It (Page-127),Chapter 11: Strategic Implications of Openness in AI Development (Page-145),Chapter 12: Using Human History, Psychology, and Biology to Make AI Safe for Humans (Page-167),Chapter 13: AI Safety: A First-Person Perspective (Page-199),Chapter 14: Strategies for an Unfriendly Oracle AI with Reset Button (Page-207),Chapter 15: Goal Changes in Intelligent Agents (Page-217),Chapter 16: Limits to Verification and Validation of Agentic Behavior (Page-225),Chapter 17: Adversarial Machine Learning (Page-235),Chapter 18: Value Alignment via Tractable Preference Distance (Page-249),Chapter 19: A Rationally Addicted Artificial Superintelligence (Page-263),Chapter 20: On the Security of Robotic Applications Using ROS (Page-273),Chapter 21: Social Choice and the Value Alignment Problem (Page-291), Chapter 22: Disjunctive Scenarios of Catastrophic AI Risk (Page-315),Chapter 23: Offensive Realism and the Insecure Structure of the International System: Artificial Intelligence and Global Hegemony (Page-339),Chapter 24: Superintelligence and the Future of Governance: On Prioritizing the Control Problem at the End of History (Page-357),Chapter 25: Military AI as a Convergent Goal of Self-Improving AI (Page-375),Chapter 26: A Value-Sensitive Design Approach to Intelligent Agents (Page-395), Chapter 27: Consequentialism, Deontology, and Artificial Intelligence Safety (Page-411),Chapter 28: Smart Machines ARE a Threat to Humanity (Page-423).

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