AAAI SSS14-03: Implementing Selves with Safe Motivational Systems & Self-Improvement

Organized by the Digital Wisdom Institute as part of the AAAI Spring 2014 Symposium Series March 24-26, 2014 (Stanford University, Palo Alto, CA, USA)

Artificial Intelligence (AI) and Artificial General Intelligence (AGI) most often focus on tools for collecting knowledge and solving problems or achieving goals rather than self-reflecting entities. Instead, this implementation-oriented symposium will focus on guided self-creation and improvement – particularly as a method of achieving human-level intelligence in machines through iterative improvement (“seed AI”).

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Evaluating Human Drives and Needs for a Safe Motivational System

Presentation Powerpoint * Proceedings PDF presented March 25, 2014 by Morgan J. Waser at the AAAI 2014 Spring Symposium on Implementing Selves with Safe Motivational Systems & Self-Improvement (Palo Alto, CA)

The human motivational system can be viewed as either being composed of drives or of needs. Our actions can be explained as being based upon reflexes, desires and goals evolved from pressures to maintain or fulfill instrumental sub-goals. Or we can use Maslow’s hierarchy of needs as another lens to provide a different view. Both correlate well with the ways we look at decisions when we are making them as well as how they interact over time and build upon one another to better meet our needs and fulfill our goals. We also focus on two drives in particular that seemingly drive the factionalism in machine intelligence safety.