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05/30/2023
Seeing Seeds Beyond Weeds: Green Teaming Generative AI for Beneficial Uses
Large generative AI models (GMs) like GPT and DALL-E are trained to gene...
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05/18/2022
Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders
Child welfare agencies across the United States are turning to data-driv...
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04/29/2022
Extended Analysis of "How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions"
This is an extended analysis of our paper "How Child Welfare Workers Red...
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04/21/2022
A Sandbox Tool to Bias(Stress)-Test Fairness Algorithms
Motivated by the growing importance of reducing unfairness in ML predict...
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04/05/2022
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support
AI-based decision support tools (ADS) are increasingly used to augment h...
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07/21/2021
Incentivizing Compliance with Algorithmic Instruments
Randomized experiments can be susceptible to selection bias due to poten...
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07/12/2021
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses
Machine Learning algorithms often prompt individuals to strategically mo...
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02/01/2021
Soliciting Stakeholders' Fairness Notions in Child Maltreatment Predictive Systems
Recent work in fair machine learning has proposed dozens of technical de...
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05/25/2019
