Algorithmic transparency of conversational agents

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.

© 2019 Copyright 2019 for the individual papers by the papers’ authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.
© Crown copyright 2019 Defence Science and Technology Laboratory UK. Approval for wider use or release must be sought from: Intellectual Property Group, Defence Science and Technology Laboratory, Porton Down, Salisbury, Wiltshire SP4 0JQ.
© Crown copyright 2019 Middlesex University. Middlesex University, The Burroughs, Hendon, London NW4 4BT.

Vol-2327
urn:nbn:de:0074-2327-4