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09/15/2023
Talkin' 'Bout AI Generation: Copyright and the Generative-AI Supply Chain
"Does generative AI infringe copyright?" is an urgent question. It is al...
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01/27/2023
Variance, Self-Consistency, and Arbitrariness in Fair Classification
In fair classification, it is common to train a model, and to compare an...
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08/03/2022
Fast or Accurate? Governing Conflicting Goals in Highly Autonomous Vehicles
The tremendous excitement around the deployment of autonomous vehicles (...
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06/23/2022
Non-Determinism and the Lawlessness of ML Code
Legal literature on machine learning (ML) tends to focus on harms, and a...
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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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02/10/2022
Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning
In 1996, philosopher Helen Nissenbaum issued a clarion call concerning t...
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01/28/2022
Making the Unaccountable Internet: The Changing Meaning of Accounting in the Design of the Early Internet
Contemporary concerns over the governance of technological systems often...
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09/22/2021
Tecnologica cosa: Modeling Storyteller Personalities in Boccaccio's Decameron
We explore Boccaccio's Decameron to see how digital humanities tools can...
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04/01/2021
Model Selection's Disparate Impact in Real-World Deep Learning Applications
Algorithmic fairness has emphasized the role of biased data in automated...
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02/01/2021
Emergent Unfairness: Normative Assumptions and Contradictions in Algorithmic Fairness-Accuracy Trade-Off Research
Across machine learning (ML) sub-disciplines, researchers make explicit ...
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10/20/2020
Where Is the Normative Proof? Assumptions and Contradictions in ML Fairness Research
Across machine learning (ML) sub-disciplines researchers make mathematic...
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07/04/2020
Regulating Accuracy-Efficiency Trade-Offs in Distributed Machine Learning Systems
In this paper we discuss the trade-off between accuracy and efficiency i...
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06/20/2020
Asymptotically Optimal Exact Minibatch Metropolis-Hastings
Metropolis-Hastings (MH) is a commonly-used MCMC algorithm, but it can b...
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02/29/2020
