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07/12/2022
A Conceptual Framework for Using Machine Learning to Support Child Welfare Decisions
Human services systems make key decisions that impact individuals in the...
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06/24/2022
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods
Machine Learning (ML) models now inform a wide range of human decisions,...
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05/13/2021
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings
Applications of machine learning (ML) to high-stakes policy settings – s...
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12/05/2020
Machine learning for public policy: Do we need to sacrifice accuracy to make models fair?
Growing applications of machine learning in policy settings have raised ...
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10/27/2020
Explainable Machine Learning for Public Policy: Use Cases, Gaps, and Research Directions
In Machine Learning (ML) models used for supporting decisions in high-st...
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08/27/2020
Mapping New Informal Settlements using Machine Learning and Time Series Satellite Images: An Application in the Venezuelan Migration Crisis
Since 2014, nearly 2 million Venezuelans have fled to Colombia to escape...
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08/26/2020
Bandit Data-driven Optimization: AI for Social Good and Beyond
The use of machine learning (ML) systems in real-world applications enta...
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07/30/2020
A Recommendation and Risk Classification System for Connecting Rough Sleepers to Essential Outreach Services
Rough sleeping is a chronic problem faced by some of the most disadvanta...
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06/01/2020
A Machine Learning System for Retaining Patients in HIV Care
Retaining persons living with HIV (PLWH) in medical care is paramount to...
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01/24/2020
Case Study: Predictive Fairness to Reduce Misdemeanor Recidivism Through Social Service Interventions
The criminal justice system is currently ill-equipped to improve outcome...
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05/15/2019
A Clinical Approach to Training Effective Data Scientists
Like medicine, psychology, or education, data science is fundamentally a...
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01/16/2019
Artificial Intelligence for Social Good
The Computing Community Consortium (CCC), along with the White House Off...
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12/21/2018
Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness
Machine learning (ML), artificial intelligence (AI) and other modern sta...
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11/14/2018
Aequitas: A Bias and Fairness Audit Toolkit
Recent work has raised concerns on the risk of unintended bias in algori...
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05/09/2018