Librería Portfolio

Features

Introduces superintelligent AI and defines concepts necessary to formalize its study
Provides a comprehensive survey of solutions historically proposed to control AI systems
Defines the field of AI safety engineering, which is at the intersection of computer security and AI
Serves as a reference text for the theory of AI-Completeness
Presents a reference for the AI Confinement Problem and associated communication protocol
Summary

A day does not go by without a news article reporting some amazing breakthrough in artificial intelligence (AI). Many philosophers, futurists, and AI researchers have conjectured that human-level AI will be developed in the next 20 to 200 years. If these predictions are correct, it raises new and sinister issues related to our future in the age of intelligent machines. Artificial Superintelligence: A Futuristic Approach directly addresses these issues and consolidates research aimed at making sure that emerging superintelligence is beneficial to humanity.

While specific predictions regarding the consequences of superintelligent AI vary from potential economic hardship to the complete extinction of humankind, many researchers agree that the issue is of utmost importance and needs to be seriously addressed. Artificial Superintelligence: A Futuristic Approach discusses key topics such as:

AI-Completeness theory and how it can be used to see if an artificial intelligent agent has attained human level intelligence
Methods for safeguarding the invention of a superintelligent system that could theoretically be worth trillions of dollars
Self-improving AI systems: definition, types, and limits
The science of AI safety engineering, including machine ethics and robot rights
Solutions for ensuring safe and secure confinement of superintelligent systems
The future of superintelligence and why long-term prospects for humanity to remain as the dominant species on Earth are not great
Artificial Superintelligence: A Futuristic Approach is designed to become a foundational text for the new science of AI safety engineering. AI researchers and students, computer security researchers, futurists, and philosophers should find this an invaluable resource.



Table of Contents

Preface
Acknowledgments
About the Author

AI-Completeness: The Problem Domain of Superintelligent Machines
Introduction
The Theory of AI-Completeness
Definitions
Turing Test as the First AI-Complete Problem
Reducing Other Problems to a TT
Other Probably AI-Complete Problems
First AI-Hard Problem: Programming
Beyond AI-Completeness
Conclusions
References

The Space of Mind Designs and the Human Mental Model
Introduction
Infinitude of Minds
Size, Complexity, and Properties of Minds
Space of Mind Designs
A Survey of Taxonomies
Mind Cloning and Equivalence Testing
Across Substrates
Conclusions
References

How to Prove You Invented Superintelligence So No One Else Can Steal It
Introduction and Motivation
Zero Knowledge Proof
Captcha
AI-Completeness
Supercaptcha
Conclusions
References

Wireheading, Addiction, and Mental Illness in Machines
Introduction
Wireheading in Machines
Sensory Illusions: A Form of Indirect Wireheading
Potential Solutions to the Wireheading Problem
Perverse Instantiation
Conclusions and Future Work
References

On the Limits of Recursively Self-Improving Artificially Intelligent Systems
Introduction
Taxonomy of Types of Self-Improvement
On the Limits of Recursively Self-Improving Artificially Intelligent Systems
Analysis
RSI Convergence Theorem
Conclusions
References

Singularity Paradox and What to Do About It
Introduction to the Singularity Paradox
Methods Proposed For Dealing with SP
Prevention from Development
Restricted Deployment
Incorporation into Society
Self-Monitoring
Indirect Solutions
Analysis of Solutions
Future Research Directions
Conclusions
References

Superintelligence Safety Engineering
Ethics and Intelligent Systems
Artificial Intelligence Safety Engineering
Grand Challenge
Artificial General Intelligence Research is Unethical
Robot Rights
Conclusions
References

Artificial Intelligence Confinement Problem (and Solution)
Introduction
Artificial Intelligence Confinement Problem
Hazardous Software
Critique of the Confinement Approach
Possible Escape Paths
Social Engineering Attacks
System Resource Attacks
Beyond Current Physics Attacks
Pseudoscientific Attacks
External Causes of Escape
Information In-Leaking
Critique of the AI-Boxing Critique
Countermeasures against Escape
Preventing Social Engineering Attacks
Preventing System Resource Attacks and Future Threat
Preventing External Causes of Escape
Preventing Information In-Leaking
AI Communication Security
How to Safely Communicate With a Superintelligence
Conclusions and Future Work
References

Efficiency Theory: A Unifying Theory for Information, Computation, and Intelligence
Introduction
Efficiency Theory
Information and Knowledge
Intelligence and Computation
Time and Space
Compressibility and Randomness
Oracles and Undecidability
Intractable and Tractable
Conclusions and Future Directions
References

Controlling the Impact of Future Superintelligence
Why I Wrote This Book
Machine Ethics Is a Wrong Approach
Can the Problem Be Avoided?
References