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07/19/2023
Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image Development
Identifying potential social and ethical risks in emerging machine learn...
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05/16/2023
Walking the Walk of AI Ethics: Organizational Challenges and the Individualization of Risk among Ethics Entrepreneurs
Amidst decline in public trust in technology, computing ethics have take...
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03/14/2023
The Equitable AI Research Roundtable (EARR): Towards Community-Based Decision Making in Responsible AI Development
This paper reports on our initial evaluation of The Equitable AI Researc...
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10/11/2022
Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction
Understanding the landscape of potential harms from algorithmic systems ...
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10/06/2022
From plane crashes to algorithmic harm: applicability of safety engineering frameworks for responsible ML
Inappropriate design and deployment of machine learning (ML) systems lea...
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02/26/2022
Healthsheet: Development of a Transparency Artifact for Health Datasets
Machine learning (ML) approaches have demonstrated promising results in ...
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02/09/2021
The Use and Misuse of Counterfactuals in Ethical Machine Learning
The use of counterfactuals for considerations of algorithmic fairness an...
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12/08/2020
Fairness Preferences, Actual and Hypothetical: A Study of Crowdworker Incentives
How should we decide which fairness criteria or definitions to adopt in ...
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10/23/2020
Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure
Rising concern for the societal implications of artificial intelligence ...
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07/14/2020
Bringing the People Back In: Contesting Benchmark Machine Learning Datasets
In response to algorithmic unfairness embedded in sociotechnical systems...
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06/17/2020
Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context
Machine learning (ML) fairness research tends to focus primarily on math...
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05/15/2020
Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics
Recent research on algorithmic fairness has highlighted that the problem...
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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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12/08/2019