MIT Case Studies in Social and Ethical Responsibilities of Computing
Brief, specially commissioned and peer-reviewed cases intended to be effective for undergraduate instruction across a range of classes and fields of study.
Understanding Potential Sources of Harm throughout the Machine Learning Life Cycle, by Harini Suresh and John Guttag
Keywords: fairness in machine learning, societal implications of machine learning, algorithmic bias, AI ethics
Public Debate on Facial Recognition Technologies in China, by Tristan G. Brown, Alexander Statman, and Celine Sui
Keywords: facial recognition, Chinese law, social media
Protections for Human Subjects in Research: Old Models, New Needs?, by Laura Stark (Vanderbilt University)
Keywords: human-subjects research, informed consent, institutional review boards, big data
The Cloud is Material: On the Environmental Impacts of Computation and Data Storage, by Steven Gonzalez Monserrate (MIT)
Keywords: climate change, Anthropocene, data centers, data storage, digital ecology, materiality of computation, sustainable computing
Algorithmic Redistricting and Black Representation in US Elections, by Zachary Schutzman (MIT)
Keywords: redistricting, algorithms, race, politics, elections