A Principle-based Ethical Assurance Argument for AI and Autonomous Systems - Research Database, The University of York

By the same authors

AI Explainability: The Technical and Ethical Dimensions
McDermid, J. A., Jia, Y., Porter, Z. & Habli, I., 1 Mar 2021, (Accepted/In press)
Article in Philosophical Transactions: Mathematical, Physical and Engineering Sciences
Mind the Gaps: Assuring the Safety of Autonomous Systems from an Engineering, Ethical, and Legal Perspective
Burton, S., Habli, I., Lawton, T., McDermid, J. A., Morgan, P. D. J. & Porter, Z. L. M., 9 Nov 2019, (E-pub ahead of print)
Article in Artificial Intelligence
The Role of Explainability in Assuring Safety of Machine Learning in Healthcare
Jia, Y., McDermid, J. A., Lawton, T. & Habli, I., 5 May 2022, (E-pub ahead of print)
Article in IEEE Transactions on Emerging Topics in Computational Intelligence
Consumerism, Contradictions, Counterfactuals: Shaping the Evolution of Safety Engineering
McDermid, J. A., Porter, Z. & Jia, Y., 8 Feb 2022, Safer Systems: The Next 30 Years: Proceedings of the 30th Safety-Critical Systems Symposium. Parsons, M. & Nicholson, M. (eds.). Safety Critical Systems Club, Vol. 170. p. 15-36 22 p.
Research output: Chapter in Book/Report/Conference proceeding › Chapter
The Role of Explainability in Assuring Safety of Machine Learning in Healthcare
Jia, Y., McDermid, J. A., Lawton, T. & Habli, I., 6 Sep 2021, (arXiv).
Research output: Working paper

A Principle-based Ethical Assurance Argument for AI and Autonomous Systems

Research output: Contribution to conference › Paper

Links

https://arxiv.org/ftp/arxiv/papers/2203/2203.15370.pdf

Author(s)

Department/unit(s)

Publication details

Date	Published - 30 Mar 2022
Original language	English

Research areas

safety, ETHICS, Artificial intelligence, robotics, Autonomous systems

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