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Trustworthy human-AI partnerships

Sarvapali D. Ramchurn, Sebastian Stein, Nicholas R. Jennings

Year
2021
Citations
65
Access
Open access

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

TrustworthinessKey (lock)Knowledge managementData scienceRobotComputer scienceEngineering ethicsEngineeringComputer securityArtificial intelligence

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