Trustworthy human-AI partnerships

Sarvapali D Ramchurn; Sebastian Stein; Nicholas R Jennings

doi:10.1016/j.isci.2021.102891

Trustworthy human-AI partnerships

iScience. 2021 Jul 24;24(8):102891. doi: 10.1016/j.isci.2021.102891. eCollection 2021 Aug 20.

Authors

Sarvapali D Ramchurn¹, Sebastian Stein¹, Nicholas R Jennings²

Affiliations

¹ School of Electronics and Computer Science, University of Southampton, Southampton, UK.
² Department of Computing, Imperial College London, London, UK.

Abstract

In this paper, we foreground some of the key research challenges that arise in the design of trustworthy human-AI partnerships. In particular, we focus on the challenges in designing human-AI partnerships that need to be addressed to help humans and organizations trust their machine counterparts individually or as a collective (e.g., as robot teams or groups of software agents). We also aim to identify the risks associated with human-AI partnerships and therefore determine the associated measures to mitigate these risks. By so doing, we will trigger new avenues of research that will address the key barriers to the adoption of AI-based systems more widely in our daily lives and in industry.

Keywords: Artificial intelligence; Human-computer interaction; Sociology.

Publication types

Review