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RES.TLL-008 | Fall 2022 | Non-Credit

# Social and Ethical Responsibilities of Computing (SERC)

### 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

## Course Info

##### Instructors

- Prof. Julie Shah
- Prof. David Kaiser

##### Departments

- Supplemental Resources

##### As Taught In

Fall 2022

##### Level

Non-Credit

##### Topics

- Engineering
  - Computer Science
    - Artificial Intelligence
- Teaching and Education
  - Curriculum and Teaching
  - Higher Education

##### Learning Resource Types

notes Lecture Notes
co_present Instructor Insights
assignment Multiple Assignment Types

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