Interaction Design for Explainable AI: Workshop Proceedings
  As artificial intelligence (AI) systems become increasingly complex and
ubiquitous, these systems will be responsible for making decisions that
directly affect individuals and society as a whole. Such decisions will need to
be justified due to ethical concerns as well as trust, but achieving this has
become difficult due to the `black-box' nature many AI models have adopted.
Explainable AI (XAI) can potentially address this problem by explaining its
actions, decisions and behaviours of the system to users. However, much
research in XAI is done in a vacuum using only the researchers' intuition of
what constitutes a `good' explanation while ignoring the interaction and the
human aspect. This workshop invites researchers in the HCI community and
related fields to have a discourse about human-centred approaches to XAI rooted
in interaction and to shed light and spark discussion on interaction design
challenges in XAI.
