Presenter: Sam Hepenstal
Title: Algorithmic Transparency of Conversational Agents

Abstract: A lack of algorithmic transparency is
a major barrier to the adoption of artificial intelligence
technologies within contexts which require high risk and high
consequence decision making. In this paper we present a framework for
providing transparency of algorithmic processes. We include important
considerations not identified in research to date for the high risk
and high consequence context of defence intelligence analysis. To
demonstrate the core concepts of our framework we explore an example
application (a conversational agent for knowledge exploration) which
demonstrates shared human-machine reasoning in a critical decision
making scenario. We include new findings from interviews with a small
number of analysts and recommendations for future research.  Bio: Sam
works for Defence Science and Technology Laboratory, Ministry of
Defence. He is currently doing a PhD on Algorithmic Transparency of
Conversational Agents under the supervision of Dr Leishi Zhang and
Prof. William Wong.