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Alex John London
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2020 – today
- 2024
- [j6]Divyansh Kaushik, Zachary C. Lipton, Alex John London:
Resolving the Human-Subjects Status of ML's Crowdworkers. Commun. ACM 67(5): 52-59 (2024) - [j5]Alex John London
, Hoda Heidari
Beneficent Intelligence: A Capability Approach to Modeling Benefit, Assistance, and Associated Moral Failures Through AI Systems. Minds Mach. 34(4): 41 (2024) - [j4]Divyansh Kaushik, Zachary C. Lipton, Alex John London:
Resolving the Human-subjects Status of Machine Learning's Crowdworkers: What ethical framework should govern the interaction of ML researchers and crowdworkers? ACM Queue 21(6): 101-127 (2024) - 2023
- [j3]Melissa D. McCradden
A normative framework for artificial intelligence as a sociotechnical system in healthcare. Patterns 4(11): 100864 (2023) - [i2]Alex John London, Hoda Heidari:
Beneficent Intelligence: A Capability Approach to Modeling Benefit, Assistance, and Associated Moral Failures through AI Systems. CoRR abs/2308.00868 (2023) - 2022
- [i1]Divyansh Kaushik, Zachary C. Lipton, Alex John London:
Resolving the Human Subjects Status of Machine Learning's Crowdworkers. CoRR abs/2206.04039 (2022)
2010 – 2019
- 2018
- [c2]Alex John London, David Danks:
Regulating Autonomous Vehicles: A Policy Proposal. AIES 2018: 216-221 - 2017
- [j2]David Danks, Alex John London:
Regulating Autonomous Systems: Beyond Standards. IEEE Intell. Syst. 32(1): 88-91 (2017) - [c1]David Danks, Alex John London:
Algorithmic Bias in Autonomous Systems. IJCAI 2017: 4691-4697 - 2016
- [j1]Frauke Hoss
Assessing the Moral Coherence and Moral Robustness of Social Systems: Proof of Concept for a Graphical Models Approach. Sci. Eng. Ethics 22(6): 1761-1779 (2016)
Coauthor Index
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last updated on 2024-10-23 21:21 CEST by the dblp team
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