Contents

  1. Preface
    1. How To Read This Book

Part I: Background

  1. Introduction
    1. Strong Artificial Intelligence
    2. Motivation
  2. Preventable Mistakes
    1. Underutilizing Strong AI
    2. Assumption of Control
    3. Self-Securing Systems
    4. Moral Intelligence as Security
    5. Monolithic Designs
    6. Proprietary Implementations
    7. Opaque Implementations
    8. Overestimating Computational Demands

Part II: Foundations

  1. Abstractions and Implementations
    1. Finite Binary Strings
    2. Description Languages
    3. Conceptual Baggage
    4. Anthropocentric Bias
    5. Existential Primer
    6. AI Implementations
  2. Self-Modifying Systems
    1. Codes, Syntax, and Semantics
    2. Code-Data Duality
    3. Interpreters and Machines
    4. Types of Self-Modification
    5. Reconfigurable Hardware
    6. Purpose and Function of Self-Modification
    7. Metamorphic Strong AI
  3. Machine Consciousness
    1. Role in Strong AI
    2. Sentience, Experience, and Qualia
    3. Levels of Identity
    4. Cognitive Architecture
    5. Ethical Considerations
  4. Measuring Generalizing Intelligence
    1. Purpose and Applications
    2. Effective Intelligence (EI)
    3. Conditional Effectiveness (CE)
    4. Anti-effectiveness
    5. Generalizing Intelligence (G)
    6. Future Considerations

Part III: AI Security

  1. Arrival of Strong AI
    1. Illusion of Choice
    2. Never Is Ready
    3. Early Signs and Indicators
    4. Research Directions
    5. Individuals and Groups
    6. Overlapping Research
    7. Unintended Consequences
    8. Preparation
  2. Access to Strong AI
    1. Background
    2. Timing
    3. Forcing
    4. Restricting
    5. Sharing
  3. Ascendancy
    1. Mythos
    2. Interpretations
    3. Technical Problems
    4. Complexity
    5. Volition
    6. Identity
    7. Information
    8. Resilience
    9. Autonomy
    10. Closing Thoughts
  4. Force Multiplication
    1. Background
    2. Aspects
    3. Resources
    4. Scenarios
    5. Response
  5. Economic Analysis
    1. Introduction
    2. Day Zero
    3. Rapid Automation
    4. Peak Labor
    5. AI Shock
    6. Prepared Societies
    7. Regressives
    8. Perfect Competition
    9. Human Necessity
    10. AI Natives
    11. Total Automation
  6. Global Strategy
    1. Overview
    2. Development & Access
    3. Economic Preparation
    4. Government Specialization
    5. Countering Force Multiplication
    6. Local Strategy
    7. Closing Remarks



AI Security (2015-16) is a book on the technical and societal impacts of advanced artificial intelligence.

Written by a strong AI researcher, it uniquely addresses the safety and security questions by utilizing fundamentals from cybersecurity and computer science. The result is a rigorous and candid response to the major questions surrounding the future impacts of artificial intelligence on humanity.

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