Dan Shapiro, Institute for the Study of Learning and Expertise and Center for the Study of Language and Information:
Value Driven Agents and the "Be all you can be" Guarantee
***note time change***
ABSTRACT:
Why don't we live in smart houses that automatically brew our coffee in
the morning, and play our favorite music at night? Why don't we drive
on automated freeways that get us there faster, even in rush hour? Why
won't NASA let the Mars rover avoid rocks on its own? Rather than blame
an absence of technology, I treat the issue as a lack of trust due to
poor communication. In this view, the goal is to give an agent a better
appreciation of its user's values, so that its choices won't have
unintended effects.
This talk will introduce a framework for constructing Value Driven
Agents that are guaranteed to maximally please their users within the
limitations of their given skills. I will begin by introducing the
concept of user-agent value alignment, and then outline a design
methodology and an implementation model for creating Value Driven
Agents of this kind.
BIO:
Dr. Daniel Shapiro is a Senior Researcher at Stanfordýs Center for the
Study of Language and Information and the Assistant Director of the
Institute for the Study of Learning and Expertise. Dr. Shapiroýs
current research interests focus on the design, development, and
application of autonomous agents that are motivated by a core concept
of value, as well as on the underlying technologies of decision theory,
reactive computing, and reinforcement learning.