125 citations · 193 across the 12 of their papers we have counts for
13 papers
Statistical Guarantees in the Search for Less Discriminatory Algorithms
Chris Hays, Ben Laufer, Solon Barocas +1
U.S. discrimination law can impose liability on firms that fail to adopt a less discriminatory alternative (LDA): a decision policy that achieves the same business objectives while…
Anatomy of a Machine Learning Ecosystem: 2 Million Models on Hugging Face
Benjamin Laufer, Hamidah Oderinwale, Jon Kleinberg
Many have observed that the development and deployment of generative machine learning (ML) and artificial intelligence (AI) models follow a distinctive pattern in which pre-trained…
Modeling the Economic Impacts of AI Openness Regulation
Tori Qiu, Benjamin Laufer, Jon Kleinberg +1
Regulatory frameworks, such as the EU AI Act, encourage openness of general-purpose AI models by offering legal exemptions for "open-source" models. Despite this legislative attent…
The Backfiring Effect of Weak AI Safety Regulation
Benjamin Laufer, Jon Kleinberg, Hoda Heidari
Recent policy proposals aim to improve the safety of general-purpose AI, but there is little understanding of the efficacy of different regulatory approaches to AI safety. We prese…
What Constitutes a Less Discriminatory Algorithm?
Benjamin Laufer, Manish Raghavan, Solon Barocas
Disparate impact doctrine offers an important legal apparatus for targeting discriminatory data-driven algorithmic decisions. A recent body of work has focused on conceptualizing o…
Strategic Evaluation: Subjects, Evaluators, and Society
Benjamin Laufer, Jon Kleinberg, Karen Levy +1
A broad current application of algorithms is in formal and quantitative measures of murky concepts -- like merit -- to make decisions. When people strategically respond to these so…
Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Models
Benjamin Laufer, Jon Kleinberg, Hoda Heidari
Recent advances in Machine Learning (ML) and Artificial Intelligence (AI) follow a familiar structure: A firm releases a large, pretrained model. It is designed to be adapted and t…
Optimization's Neglected Normative Commitments
Benjamin Laufer, Thomas Krendl Gilbert, Helen Nissenbaum
Optimization is offered as an objective approach to resolving complex, real-world decisions involving uncertainty and conflicting interests. It drives business strategies as well a…
Collective Obfuscation and Crowdsourcing
Benjamin Laufer, Niko A. Grupen
Crowdsourcing technologies rely on groups of people to input information that may be critical for decision-making. This work examines obfuscation in the context of reporting techno…
Four Years of FAccT: A Reflexive, Mixed-Methods Analysis of Research Contributions, Shortcomings, and Future Prospects
Benjamin Laufer, Sameer Jain, A. Feder Cooper +2
Fairness, Accountability, and Transparency (FAccT) for socio-technical systems has been a thriving area of research in recent years. An ACM conference bearing the same name has bee…
Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning
A. Feder Cooper, Emanuel Moss, Benjamin Laufer +1
In 1996, Accountability in a Computerized Society [95] issued a clarion call concerning the erosion of accountability in society due to the ubiquitous delegation of consequential f…
Feedback Effects in Repeat-Use Criminal Risk Assessments
Benjamin Laufer
In the criminal legal context, risk assessment algorithms are touted as data-driven, well-tested tools. Studies known as validation tests are typically cited by practitioners to sh…
Compounding Injustice: History and Prediction in Carceral Decision-Making
Benjamin Laufer
Risk assessment algorithms in criminal justice put people's lives at the discretion of a simple statistical tool. This thesis explores how algorithmic decision-making in criminal p…