Building a Trustworthy Explainable AI in Healthcare

Larasati, Retno and De Liddo, Anna Building a Trustworthy Explainable AI in Healthcare. In: INTERACT 2019/ 17th IFIP: International Conference of Human Computer Interaction. Workshop: Human(s) in the loop -Bringing AI & HCI together, 2-6 Sep 2019, Cyprus, Cardiff and Ubiquity Press.

Abstract

The lack of clarity on how the most advanced AI algorithms do what they do creates serious concerns as to the accountability, trust and social acceptability of AI technologies. These concerns become even bigger when people’s well being is at stake, such as healthcare. This calls for systems enabling to make decisions transparent, understandable and explainable for users. This paper briefly discusses the trust in AI healthcare system, propose a framework relation between trust and characteristics of explanation, and possible future studies to build trustworthy Explainable AI.

Viewing alternatives

Download history

Item Actions

Export

About

Recommendations