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08/08/2023
Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Models
Major advances in Machine Learning (ML) and Artificial Intelligence (AI)...
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08/01/2023
Beneficent Intelligence: A Capability Approach to Modeling Benefit, Assistance, and Associated Moral Failures through AI Systems
The prevailing discourse around AI ethics lacks the language and formali...
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05/27/2023
Moral Machine or Tyranny of the Majority?
With Artificial Intelligence systems increasingly applied in consequenti...
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03/26/2023
Recentering Validity Considerations through Early-Stage Deliberations Around AI and Policy Design
AI-based decision-making tools are rapidly spreading across a range of r...
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01/28/2023
Informational Diversity and Affinity Bias in Team Growth Dynamics
Prior work has provided strong evidence that, within organizational sett...
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06/30/2022
A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms
This work seeks to center validity considerations in deliberations aroun...
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06/14/2022
Four Years of FAccT: A Reflexive, Mixed-Methods Analysis of Research Contributions, Shortcomings, and Future Prospects
Fairness, Accountability, and Transparency (FAccT) for socio-technical s...
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05/13/2022
Perspectives on Incorporating Expert Feedback into Model Updates
Machine learning (ML) practitioners are increasingly tasked with develop...
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04/22/2022
A Unifying Framework for Combining Complementary Strengths of Humans and ML toward Better Predictive Decision-Making
Hybrid human-ML systems are increasingly in charge of consequential deci...
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04/21/2022
A Sandbox Tool to Bias(Stress)-Test Fairness Algorithms
Motivated by the growing importance of reducing unfairness in ML predict...
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12/12/2021
Bayesian Persuasion for Algorithmic Recourse
When subjected to automated decision-making, decision subjects may strat...
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07/12/2021
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses
Machine Learning algorithms often prompt individuals to strategically mo...
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06/07/2021
Stateful Strategic Regression
Automated decision-making tools increasingly assess individuals to deter...
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06/02/2021
Addressing the Long-term Impact of ML Decisions via Policy Regret
Machine Learning (ML) increasingly informs the allocation of opportuniti...
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03/10/2021
On Modeling Human Perceptions of Allocation Policies with Uncertain Outcomes
Many policies allocate harms or benefits that are uncertain in nature: t...
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01/21/2021
Allocating Opportunities in a Dynamic Model of Intergenerational Mobility
Opportunities such as higher education can promote intergenerational mob...
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11/08/2019
A Human-in-the-loop Framework to Construct Context-dependent Mathematical Formulations of Fairness
Despite the recent surge of interest in designing and guaranteeing mathe...
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03/04/2019
On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning
Most existing notions of algorithmic fairness are one-shot: they ensure ...
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02/13/2019
Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning
Fairness for Machine Learning has received considerable attention, recen...
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09/10/2018
A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunity
Equality of opportunity (EOP) is an extensively studied conception of fa...
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07/02/2018
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices
Discrimination via algorithmic decision making has received considerable...
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06/13/2018
Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making
We draw attention to an important, yet largely overlooked aspect of eval...
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06/07/2017
A Convex Framework for Fair Regression
We introduce a flexible family of fairness regularizers for (linear and ...
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03/27/2017