15 citations · 16 across the 9 of their papers we have counts for
10 papers
Scrutinizing Index-Based Risk Assessments: A Case Study in NYC Decision-making for Heat Emergency Management
Jennah Gosciak, Luke Boyce, Angelina Wang +1
Cities are increasingly turning to large-scale data analysis and machine learning to make consequential decisions. While the algorithmic fairness community has focused on analyzing…
Into the Unknown: Accounting for Missing Demographic Data when Mitigating Ad Delivery Skew
Isabel Corpus, Allison Koenecke
Online advertising platforms use algorithmic systems to power the process of matching ads to users, termed ad delivery. Prior audits have demonstrated that ad delivery can be skewe…
A Critical Pragmatism Approach for AI Ethics: Lessons from Urban Planning Theory
Jennah Gosciak, Karen Levy, Allison Koenecke
As data scientists grapple with increasingly complex ethical decisions in machine learning (ML) and algorithm design, scholarship on AI ethics has offered multiple solutions, from…
Bias Delayed is Bias Denied? Assessing the Effect of Reporting Delays on Disparity Assessments
Jennah Gosciak, Aparna Balagopalan, Derek Ouyang +3
Conducting disparity assessments at regular time intervals is critical for surfacing potential biases in decision-making and improving outcomes across demographic groups. Because d…
Tasks and Roles in Legal AI: Data Curation, Annotation, and Verification
Allison Koenecke, Jed Stiglitz, David Mimno +1
The application of AI tools to the legal field feels natural: large legal document collections could be used with specialized AI to improve workflow efficiency for lawyers and amel…
Automate or Assist? The Role of Computational Models in Identifying Gendered Discourse in US Capital Trial Transcripts
Andrea W Wen-Yi, Kathryn Adamson, Nathalie Greenfield +4
The language used by US courtroom actors in criminal trials has long been studied for biases. However, systematic studies for bias in high-stakes court trials have been difficult,…
Popular Support for Balancing Equity and Efficiency in Resource Allocation: A Case Study in Online Advertising to Increase Welfare Program Awareness
Allison Koenecke, Eric Giannella, Robb Willer +1
Algorithmically optimizing the provision of limited resources is commonplace across domains from healthcare to lending. Optimization can lead to efficient resource allocation, but,…
Potential for allocative harm in an environmental justice data tool
Benjamin Q. Huynh, Elizabeth T. Chin, Allison Koenecke +4
Neighborhood-level screening algorithms are increasingly being deployed to inform policy decisions. We evaluate one such algorithm, CalEnviroScreen - designed to promote environmen…
Synthetic Data Generation for Economists
Allison Koenecke, Hal Varian
As more tech companies engage in rigorous economic analyses, we are confronted with a data problem: in-house papers cannot be replicated due to use of sensitive, proprietary, or pr…
Learning Twitter User Sentiments on Climate Change with Limited Labeled Data
Allison Koenecke, Jordi Feliu-Fabà
While it is well-documented that climate change accepters and deniers have become increasingly polarized in the United States over time, there has been no large-scale examination o…