Responsible AI must be able to make or support decisions that consider human values and
can be justified by human morals. Accommodating values and morals in responsible …

We develop a taxonomy that categorizes HRI failure types and their impact on trust to
structure the broad range of knowledge contributions. We further identify research gaps in …

Explainable AI is an important area of research within which Explainable Planning is an
emerging topic. In this paper, we argue that Explainable Planning can be designed as a …

The evolving relationship between humans and technology entails increasing concerns
about the impact on ethical issues such as bias, unfairness, and lack of accountability. There …

The objective of top-k planning is to determine a set of k different plans with lowest cost for a
given planning task. In practice, such a set of best plans can be preferred to a single best …

A moral planning agent (MPA) seeks to compare two plans or compute an optimal plan in an
interactive setting with other agents, where relative ideality and optimality of plans are …

In human-agent collectives, humans and agents need to work collaboratively and agree on
collective decisions. However, ensuring that agents responsibly make decisions is a …

In this paper we propose a framework for ethical decision-making in the context of planning,
with intended application to robotics. We put forward a compact but highly expressive …

The development of robotics and AI agents has enabled their wider usage in human
surroundings. AI agents are more trusted to make increasingly important decisions with …

Humans and agents often need to work together and agree on collective decisions.
Ensuring that autonomous systems work responsibly is complex especially when …