Andrew Smart
Orcid: 0000-0002-9816-7348
According to our database1,
Andrew Smart
authored at least 25 papers
between 2001 and 2024.
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Bibliography
2024
Patterns, 2024
CoRR, 2024
CoRR, 2024
Unsocial Intelligence: a Pluralistic, Democratic, and Participatory Investigation of AGI Discourse.
CoRR, 2024
2023
The Equitable AI Research Roundtable (EARR): Towards Community-Based Decision Making in Responsible AI Development.
CoRR, 2023
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023
Walking the Walk of AI Ethics: Organizational Challenges and the Individualization of Risk among Ethics Entrepreneurs.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
From Plane Crashes to Algorithmic Harm: Applicability of Safety Engineering Frameworks for Responsible ML.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023
Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image Development.
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023
2022
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022
2021
Big Data Soc., July, 2021
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021
Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021
2020
CoRR, 2020
CoRR, 2020
Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context.
CoRR, 2020
Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics.
CoRR, 2020
Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing.
Proceedings of the FAT* '20: Conference on Fairness, 2020
Proceedings of the FAT* '20: Conference on Fairness, 2020
Why Reliabilism Is not Enough: Epistemic and Moral Justification in Machine Learning.
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020
2001
Proceedings of the 34th Annual Hawaii International Conference on System Sciences (HICSS-34), 2001