Assessing Trustworthiness of Autonomous Systems
May 05, 2023 Β· Declared Dead Β· π arXiv.org
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Authors
Gregory Chance, Dhaminda B. Abeywickrama, Beckett LeClair, Owen Kerr, Kerstin Eder
arXiv ID
2305.03411
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.CY,
cs.SE
Citations
9
Venue
arXiv.org
Last Checked
4 months ago
Abstract
As Autonomous Systems (AS) become more ubiquitous in society, more responsible for our safety and our interaction with them more frequent, it is essential that they are trustworthy. Assessing the trustworthiness of AS is a mandatory challenge for the verification and development community. This will require appropriate standards and suitable metrics that may serve to objectively and comparatively judge trustworthiness of AS across the broad range of current and future applications. The meta-expression `trustworthiness' is examined in the context of AS capturing the relevant qualities that comprise this term in the literature. Recent developments in standards and frameworks that support assurance of autonomous systems are reviewed. A list of key challenges are identified for the community and we present an outline of a process that can be used as a trustworthiness assessment framework for AS.
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