Trustworthy AI: responses to commentators

Journal article

In ‘Trustworthy Artificial Intelligence’, we develop a novel account of how it is that AI can be trustworthy and what it takes for an AI to be trustworthy. In this paper, we respond to a suite of recent comments on this account, due to J. Adam Carter, Dong-yong Choi, Rune Nyrup, and Fei Song. We would like to thank all four for their thoughtful engagement with our work, as well as the Asian Journal of Philosophy for publishing the symposium on our paper. The game plan for the paper is as follows. We will first briefly rehearse the account and then respond to comments in turn

Authors: Kelp, C; Simion, M

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Springer Science and Business Media LLC
• Journal: Asian journal of philosophy
• Volume: 4
• Issue: 1
• Pages: 3-3
• Publication date: 2024-12-22
• DOI: 10.1007/s44204-024-00229-9
• EISSN: 2731-4642
• ISSN: 2731-4642
• Language: English
• Keywords: Trustworthiness; Political science; Suite; Artificial intelligence; Publishing; Computer security; Psychology; Law; Computer science; Cognitive science