As robots become increasingly prevalent in our communities, aligning the values motivating
their behavior with human values is critical. However, it is often difficult or impossible for …

Recent advances in artificial intelligence (AI) have underscored the need for explainable AI
(XAI) to support human understanding of AI systems. Consideration of human factors that …

Recent advances in artificial intelligence (AI) have underscored the need for explainable AI
(XAI) to support human understanding of AI systems. Consideration of human factors that …

Explanations are a powerful way of increasing the transparency of complex AI policies. Such
explanations must not only be informative regarding the policy in question, but must also be …

Demonstrations are a powerful way of increasing the transparency of AI policies to humans.
Though we can approximately model human learning from demonstrations as inverse …

Demonstrations are a powerful way of increasing the transparency of AI policies. Though
informative demonstrations may be selected a priori through the machine teaching …

In this work, we aim to improve transparency and efficacy in human-robot collaboration by
developing machine teaching algorithms suitable for groups with varied learning …

For safe and effective collaboration between a robot and a human group, the challenge
arises in teaching a diverse group of individuals about the robot's decision-making process …

Alignment of autonomous agents' values and objectives with those of humans can greatly
enhance these agents' ability to act flexibly to safely and reliably meet humans' goals across …

For intelligent agents (eg robots) to be seamlessly integrated into human society, humans
must be able to understand their decision making. For example, the decision making of …