Publications (25)
Applying Machine Learning Methods to Enhance the Distribution of Social Services in Mexico
Kris Sankaran, Diego Garcia-Olano, Mobin Javed +7
Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance
Catalina Vajiac, Arun Frey, Joachim Baumann +5
A Machine Learning System for Retaining Patients in HIV Care
Avishek Kumar, Arthi Ramachandran, Adolfo De Unanue +7
Artificial Intelligence for Social Good
Gregory D. Hager, Ann Drobnis, Fei Fang +8
Explainable Machine Learning for Public Policy: Use Cases, Gaps, and Research Directions
Kasun Amarasinghe, Kit Rodolfa, Hemank Lamba +1
Towards Automated Scoping of AI for Social Good Projects
Jacob Emmerson, Rayid Ghani, Zheyuan Ryan Shi
Aequitas: A Bias and Fairness Audit Toolkit
Pedro Saleiro, Benedict Kuester, Loren Hinkson +5
Aequitas Flow: Streamlining Fair ML Experimentation
Sérgio Jesus, Pedro Saleiro, Inês Oliveira e Silva +5
Mapping New Informal Settlements using Machine Learning and Time Series Satellite Images: An Application in the Venezuelan Migration Crisis
Isabelle Tingzon, Niccolo Dejito, Ren Avell Flores +7
A Recommendation and Risk Classification System for Connecting Rough Sleepers to Essential Outreach Services
Harrison Wilde, Lucia Lushi Chen, Austin Nguyen +7
Case Study: Predictive Fairness to Reduce Misdemeanor Recidivism Through Social Service Interventions
Kit T. Rodolfa, Erika Salomon, Lauren Haynes +3
Using Machine Learning to Assess the Risk of and Prevent Water Main Breaks
Avishek Kumar, Syed Ali Asad Rizvi, Benjamin Brooks +8
Toward Third-Party Assurance of AI Systems: Design Requirements, Prototype, and Early Testing
Rachel M. Kim, Blaine Kuehnert, Alice Lai +3
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools
Emily Black, Rakshit Naidu, Rayid Ghani +3
Bandit Data-Driven Optimization
Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani +1
Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness
Sebastian Vollmer, Bilal A. Mateen, Gergo Bohner +15
Breaking the Cycle of Incarceration With Targeted Mental Health Outreach: A Case Study in Machine Learning for Public Policy
Kit T. Rodolfa, Erika Salomon, Jin Yao +9
Learning Who to Treat When Treatment is Missing
Johnna Sundberg, Rayid Ghani, Eli Ben-Michael +1
The paper develops efficient estimators for policy learning when treatment assignments are missing, handling both missing-at-random and missing-completely-conditionally-at-random s…
Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy
Kit T. Rodolfa, Hemank Lamba, Rayid Ghani
A Clinical Approach to Training Effective Data Scientists
Kit T Rodolfa, Adolfo De Unanue, Matt Gee +1
A Conceptual Framework for Using Machine Learning to Support Child Welfare Decisions
Ka Ho Brian Chor, Kit T. Rodolfa, Rayid Ghani
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings
Hemank Lamba, Kit T. Rodolfa, Rayid Ghani
Faking feature importance: A cautionary tale on the use of differentially-private synthetic data
Oscar Giles, Kasra Hosseini, Grigorios Mingas +13
Enabling the AI Revolution in Healthcare
Mona Singh, Katie Siek, David Danks +5
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods
Kasun Amarasinghe, Kit T. Rodolfa, Sérgio Jesus +6