Artificial Intelligence Safety and Security.

Bibliographic Details
Corporate Author:	Taylor & Francis
Format:	eBook
Language:	English
Published:	Milton, UNITED KINGDOM : Chapman & Hall/CRC, 2018.
Series:	Chapman & Hall/CRC artificial intelligence and robotics series.
Subjects:	Artificial intelligence > Moral and ethical aspects. Artificial intelligence > Safety measures. Automation > Safety measures. Automation > Security measures. Intelligence artificielle > Aspect moral. Intelligence artificielle > Sécurité > Mesures. Automatisation > Sécurité > Mesures. COMPUTERS / Software Development & Engineering / Systems Analysis & Design. TECHNOLOGY & ENGINEERING / Electronics / General. Artificial intelligence > Moral and ethical aspects Automation > Safety measures Automation > Security measures Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Cover
Half Title
Title Page
Copyright Page
Dedication
Contents
Preface: Introduction to AI Safety and Security
Acknowledgments
Editor
Contributors
Part I: Concerns of Luminaries
Chapter 1: Why the Future Doesn't Need Us
Chapter 2: The Deeply Intertwined Promise and Peril of GNR
Chapter 3: The Basic AI Drives
Chapter 4: The Ethics of Artificial Intelligence
Chapter 5: Friendly Artificial Intelligence: The Physics Challenge
Chapter 6: MDL Intelligence Distillation: Exploring Strategies for Safe Access to Superintelligent Problem-Solving Capabilities
Chapter 7: The Value Learning Problem
Chapter 8: Adversarial Examples in the Physical World
Chapter 9: How Might AI Come About?: Different Approaches and Their Implications for Life in the Universe
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
Chapter 11: Strategic Implications of Openness in AI Development
Part II: Responses of Scholars
Chapter 12: Using Human History, Psychology, and Biology to Make AI Safe for Humans
Chapter 13: AI Safety: A First-Person Perspective
Chapter 14: Strategies for an Unfriendly Oracle AI with Reset Button
Chapter 15: Goal Changes in Intelligent Agents
Chapter 16: Limits to Verification and Validation of Agentic Behavior
Chapter 17: Adversarial Machine Learning (AI Safety and Security Textbook)
Chapter 18: Value Alignment via Tractable Preference Distance
Chapter 19: A Rationally Addicted Artificial Superintelligence
Chapter 20: On the Security of Robotic Applications Using ROS
Chapter 21: Social Choice and the Value Alignment Problem*
Chapter 22: Disjunctive Scenarios of Catastrophic AI Risk.
Chapter 23: Offensive Realism and the Insecure Structure of the International System: Artificial Intelligence and Global Hegemony
Chapter 24: Superintelligence and the Future of Governance: On Prioritizing the Control Problem at the End of History
Chapter 25: Military AI as a Convergent Goal of Self-Improving AI
Chapter 26: A Value-Sensitive Design Approach to Intelligent Agents
Chapter 27: Consequentialism, Deontology, and Artificial Intelligence Safety
Chapter 28: Smart Machines ARE a Threat to Humanity
Index.