The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Regulating Autonomous Systems: Beyond Standards
Abstract
Autonomous systems are on the verge of widespread use, but there are significant challenges to ensuring their safe and appropriate development, deployment, and application. The authors argue that autonomous systems cannot, in general, be regulated using traditional performance standards. They contend that these systems should instead be evaluated by a staged, iterative regulatory approach similar to that for pharmaceuticals and medical devices. This article outlines some features of such a system.
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Metadata
- Authors
- Danks, D., & London, A. J.
- Affiliations
- Carnegie Mellon University (US)
- Venue
- IEEE Intelligent Systems
- Published
- 2017-01
- Volume
- 32
- Issue
- 1
- Pages
- 88-91
- ISSN
- 1541-1672 (ISSN-L)
- OpenAlex
- W2588936615
- Cited by
- 61
- References
- 5
- Citations by year
- 2026: 5 · 2025: 6 · 2024: 10 · 2023: 5 · 2022: 8 · 2021: 5 · 2020: 4 · 2019: 8 · 2018: 9 · 2017: 1
- FWCI
- 61.95
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Intelligent Systems (publishedVersion)
- Topics
- Social Sciences › Law › Digitalization, Law, and Regulation
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Safety Systems Engineering in Autonomy
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Keywords
- autonomous systems, regulation, performance standards, iterative evaluation, safety, medical device regulation, drug regulation, technology governance
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