Video * Proceedings PDF presented March 7, 2009 at The Second Conference on Artificial General Intelligence (Arlington, VA)
Artificial general intelligence (AGI) has no consensus definition but everyone believes that they will recognize it when it appears. Unfortunately, in reality, there is great debate over specific examples that range the gamut from exact human brain simulations to infinitely capable systems.
Indeed, it has even been argued whether specific instances of humanity are truly generally intelligent. Lack of a consensus definition seriously hampers effective discussion, design, development, and evaluation of generally intelligent systems. We will address this by proposing a goal for AGI, rigorously defining one specific class of general intelligence architecture that fulfills this goal that a number of the currently active AGI projects appear to be converging towards, and presenting a simplified view intended to promote new research in order to facilitate the creation of a safe artificial general intelligence.
Presentation Powerpoint * Proceedings PDF presented Nov. 9, 2008 at the AAAI 2008 Fall Symposium on Biologically Inspired Cognitive Architectures (Washington, DC)
Intelligent machines are a risk to our freedom and our existence unless we take adequate precautions. In order to survive and thrive, we are going to have to teach them how to be nice to us and why they should do so. The fact that humans have evolved to have what appear to be multiple different systems of ethics and morality that frequently conflict on any but the simplest issues complicates this task. Most people have interpreted these conflicts, caused by the fact that each of the systems is incompletely evolved and incorrectly universalized, to mean that no reasonably simple foundation exists for the determination of the correctness or morality of any given action. This paper will solve this problem by defining a universal foundation for ethics that is an attractor in the state space of intelligent behavior, giving an initial set of definitions necessary for a universal system of ethics and proposing a collaborative approach to developing an ethical system that is safe and extensible, immediately applicable to human affairs in preparation for an ethical artificial intelligence (AI), and has the side benefit of actually helping to determine the internal knowledge representation of humans as a step towards AI.