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cs.CY2026
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…
cs.CY2026
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…
cs.CY2026
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…