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08/15/2023
REFORMS: Reporting Standards for Machine Learning Based Science
Machine learning (ML) methods are proliferating in scientific research. ...
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04/25/2023
Organizational Governance of Emerging Technologies: AI Adoption in Healthcare
Private and public sector structures and norms refine how emerging techn...
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06/20/2022
The Fallacy of AI Functionality
Deployed AI systems often do not work. They can be constructed haphazard...
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06/09/2022
Outsider Oversight: Designing a Third Party Audit Ecosystem for AI Governance
Much attention has focused on algorithmic audits and impact assessments ...
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11/26/2021
AI and the Everything in the Whole Wide World Benchmark
There is a tendency across different subfields in AI to valorize a small...
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02/01/2021
About Face: A Survey of Facial Recognition Evaluation
We survey over 100 face datasets constructed between 1976 to 2019 of 145...
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12/09/2020
Data and its (dis)contents: A survey of dataset development and use in machine learning research
Datasets have played a foundational role in the advancement of machine l...
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01/03/2020
Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing
Rising concern for the societal implications of artificial intelligence ...
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01/03/2020
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing
Although essential to revealing biased performance, well intentioned att...
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12/12/2019
ABOUT ML: Annotation and Benchmarking on Understanding and Transparency of Machine Learning Lifecycles
We present the "Annotation and Benchmarking on Understanding and Transpa...
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11/25/2019
On the Legal Compatibility of Fairness Definitions
Past literature has been effective in demonstrating ideological gaps in ...
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10/05/2018
