RES.TLL-008 | Spring 2023 | Non Credit

Social and Ethical Responsibilities of Computing (SERC)

Social and Environmental Impacts

17.806 Quantitative Research Methods IV: Advanced Topics

Author: In Song Kim 

Lecture Module: “Analyzing the Impact of Police Stopping in Political Behavior” 

Keywords: policing, stop-question-and-frisk, racial minorities, political behavior

Module Goals: This problem set explores how/whether policing against citizens and against racial minorities affects political behavior by leveraging a variety of data sources available online, including micro-level administrative data on policing.

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.

Winter 2023

Emotional Attachment to AI Companions and European Law, by Claire Boine (University of Ottowa)

Keywords: AI law, AI companions, human-machine interactions, data privacy, consumer protection 

Twitter Gamifies the Conversation, by C. Thi Nguyen (University of Utah), Meica Magnani (Northeastern University), and Susan Kennedy (Santa Clara University)

Keywords: social media, social epistemology, Twitter, gamification, value capture, technology ethics

Summer 2022

Patenting Bias: Algorithmic Race and Ethnicity Classifications, Proprietary Rights, and Public Data, by Tiffany Nichols (Harvard University)

Keywords: racial and ethnic classifications, algorithmic bias, patents, public data

Winter 2022

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

Summer 2021

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

Course Info

As Taught In
Spring 2023
Learning Resource Types
Lecture Notes
Instructor Insights
Multiple Assignment Types