Explainable AI is growing in importance as AI pervades modern society, but few have
studied how explainable AI can directly support people trying to assess an AI agent. Without …

Would you allow an AI agent to make decisions on your behalf? If the answer is “not always,”
the next question becomes “in what circumstances”? Answering this question requires …

One of the main challenges in game AI is building agents that can intelligently react to
unforeseen game situations. In real-time strategy games, players create new strategies and …

Pathfinding algorithms used in todays computer games consider the path length or a similar
criterion as the only measure of optimality. However, these games usually involve opposing …

Assessing and understanding intelligent agents is a difficult task for users that lack an AI
background. A relatively new area, called" Explainable AI," is emerging to help address this …

How should an AI-based explanation system explain an agent's complex behavior to
ordinary end users who have no background in AI? Answering this question is an active …

Explainable AI (XAI) is growing in importance as AI pervades modern society, but few have
studied how XAI can directly support people trying to assess an AI agent. Without a rigorous …

Faced with several AI-powered sequential decision-making systems, how might someone
choose on which to rely? For example, imagine car buyer Blair shopping for a self-driving …

For many computer activities, user verification is necessary before the system will authorize
access. The objective of verification is to separate genuine account owners from intruders or …

A major challenge in the field of case-based reasoning is building case libraries
representative of the state space the system will encounter. We approach this problem by …