The devil is in the details: Interrogating values embedded in the allegheny family screening tool

M Gerchick, T Jegede, T Shah, A Gutierrez… - Proceedings of the …, 2023 - dl.acm.org
The design decisions of developers and researchers in creating algorithmic tools—like
constructing variables, performing feature selection, and binning model outputs—are …

Machine learning for environmental justice: Dissecting an algorithmic approach to predict drinking water quality in California

S Karasaki, R Morello-Frosch, D Callaway - Science of The Total …, 2024 - Elsevier
The potential for machine learning to answer questions of environmental science,
monitoring, and regulatory enforcement is evident, but there is cause for concern regarding …

Beyond ads: sequential decision-making algorithms in law and public policy

P Henderson, B Chugg, B Anderson… - Proceedings of the 2022 …, 2022 - dl.acm.org
We explore the promises and challenges of employing sequential decision-making
algorithms--such as bandits, reinforcement learning, and active learning--in law and public …

Environmental Justice and Lessons Learned from COVID-19 Outcomes—Uncovering Hidden Patterns with Geometric Deep Learning and New NASA Satellite Data

Z Zhen, H Lee, I Segovia-Dominguez… - … Intelligence for the …, 2024 - journals.ametsoc.org
Virtually all aspects of our societal functioning—from food security to energy supply to
healthcare—depend on the dynamics of environmental factors. Nevertheless, the social …

[HTML][HTML] A new AI lexicon: Sustainability

R Bergmann, S Solomun - AI Now Institute, 2021 - ainowinstitute.org
A New AI Lexicon: Sustainability - AI Now Institute 2023 Landscape Our Work People Careers
About Us The AI Now Institute produces diagnosis and actionable policy research on artificial …

Aligning Law, Policy, and Machine Learning for Responsible Real-World Deployments

P Henderson - 2023 - search.proquest.com
Recent advances in machine learning (ML) have seen systems achieve human-like
performance in specific tasks, especially in the realms of sequential decision-making and …

Drop a Line, Submit on Time? Randomized Tailored Reminders Improve Pollution Reporting Timeliness

E Benami, N Jo, B Ragnauth, DE Ho - … Tailored Reminders Improve …, 2023 - papers.ssrn.com
Environmental law relies on self-monitoring by regulated parties, but reporting violations
persist in nontrivial numbers. Failure to report on time can mask pollution problems and …

[PDF][PDF] Beyond Ads: Sequential Decision-Making Algorithms in Public Policy

P Henderson, B Chugg, B Anderson… - arXiv preprint arXiv …, 2021 - datascienceassn.org
We explore the promises and challenges of employing sequential decision-making
algorithms–such as bandits, reinforcement learning, and active learning–in the public sector …