799 citations · 1.6k across the 16 of their papers we have counts for
14 papers · 1 filter
Proactive Moderation of Online Discussions: Existing Practices and the Potential for Algorithmic Support
Charlotte Schluger, Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil +1
To address the widespread problem of uncivil behavior, many online discussion platforms employ human moderators to take action against objectionable content, such as removing it or…
Fast or Accurate? Governing Conflicting Goals in Highly Autonomous Vehicles
A. Feder Cooper, Karen Levy
The tremendous excitement around the deployment of autonomous vehicles (AVs) comes from their purported promise. In addition to decreasing accidents, AVs are projected to usher in…
An Uncommon Task: Participatory Design in Legal AI
Fernando Delgado, Solon Barocas, Karen Levy
Despite growing calls for participation in AI design, there are to date few empirical studies of what these processes look like and how they can be structured for meaningful engage…
Algorithmic Auditing and Social Justice: Lessons from the History of Audit Studies
Briana Vecchione, Solon Barocas, Karen Levy
Algorithmic audits have been embraced as tools to investigate the functioning and consequences of sociotechnical systems. Though the term is used somewhat loosely in the algorithmi…
Algorithms and Decision-Making in the Public Sector
Karen Levy, Kyla Chasalow, Sarah Riley
This article surveys the use of algorithmic systems to support decision-making in the public sector. Governments adopt, procure, and use algorithmic systems to support their functi…
Computer Vision and Conflicting Values: Describing People with Automated Alt Text
Margot Hanley, Solon Barocas, Karen Levy +2
Scholars have recently drawn attention to a range of controversial issues posed by the use of computer vision for automatically generating descriptions of people in images. Despite…
On Modeling Human Perceptions of Allocation Policies with Uncertain Outcomes
Hoda Heidari, Solon Barocas, Jon Kleinberg +1
Many policies allocate harms or benefits that are uncertain in nature: they produce distributions over the population in which individuals have different probabilities of incurring…
Representativeness in Statistics, Politics, and Machine Learning
Kyla Chasalow, Karen Levy
Representativeness is a foundational yet slippery concept. Though familiar at first blush, it lacks a single precise meaning. Instead, meanings range from typical or characteristic…
Accuracy-Efficiency Trade-Offs and Accountability in Distributed ML Systems
A. Feder Cooper, Karen Levy, Christopher De Sa
Trade-offs between accuracy and efficiency pervade law, public health, and other non-computing domains, which have developed policies to guide how to balance the two in conditions…
Privacy threats in intimate relationships
Karen Levy, Bruce Schneier
This article provides an overview of intimate threats: a class of privacy threats that can arise within our families, romantic partnerships, close friendships, and caregiving relat…
Roles for Computing in Social Change
Rediet Abebe, Solon Barocas, Jon Kleinberg +3
A recent normative turn in computer science has brought concerns about fairness, bias, and accountability to the core of the field. Yet recent scholarship has warned that much of t…
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices
Manish Raghavan, Solon Barocas, Jon Kleinberg +1
There has been rapidly growing interest in the use of algorithms in hiring, especially as a means to address or mitigate bias. Yet, to date, little is known about how these methods…
Debiasing Desire: Addressing Bias & Discrimination on Intimate Platforms
Jevan Hutson, Jessie G. Taft, Solon Barocas +1
Designing technical systems to be resistant to bias and discrimination represents vital new terrain for researchers, policymakers, and the anti-discrimination project more broadly.…
Privacy, ethics, and data access: A case study of the Fragile Families Challenge
Ian Lundberg, Arvind Narayanan, Karen Levy +1
Stewards of social science data face a fundamental tension. On one hand, they want to make their data accessible to as many researchers as possible to facilitate new discoveries. A…