5 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…
A Critical Pragmatism Approach for Algorithmic Fairness: 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 data science, the field of algorithmic fairness has offered multiple solutions,…
LLMs in social services: How does chatbot accuracy affect human accuracy?
Jennah Gosciak, Eric Giannella, Zhaowen Guo +2
Social service programs like the Supplemental Nutrition Assistance Program (SNAP, or food stamps) have eligibility rules that can be challenging to understand. For nonprofit casewo…
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…
AI Rules? Characterizing Reddit Community Policies Towards AI-Generated Content
Travis Lloyd, Jennah Gosciak, Tung Nguyen +1
How are Reddit communities responding to AI-generated content? We explored this question through a large-scale analysis of subreddit community rules and their change over time. We…