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

# Social and Ethical Responsibilities of Computing (SERC)

### STS.012/STS.008 Science in Action: Technologies and Controversies in Everyday Life

Author: Dwai Banerjee

Lecture Module: “Big Data and Personal Privacy”

Keywords: privacy; AI; surveillance; data ethics

Module Goals:

- To find overlaps and differences in the experience of students learning about their right to privacy
- To discuss whether they believe existing rights to be adequate
- To examine whether current ethical standards (such as those instituted by the GDPR) sufficiently protect their rights (as they exist or as they believe should exist).

### 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.

Wrestling with Killer Robots: The Benefits and Challenges of Artificial Intelligence for National Security, by Erik Lin-Greenberg

Keywords: autonomous weapons, killer robots, military ethics, modern warfare

Public Debate on Facial Recognition Technologies in China, by Tristan G. Brown, Alexander Statman, and Celine Sui

Keywords: facial recognition, Chinese law, social media

The Case of the Nosy Neighbors, by Johanna Gunawan and Woodrow Hartzog (Northeastern University)

Keywords: user data privacy, technology in norm enforcement, facial recognition, mass surveillance, mass scraping of public data

Differential Privacy and the 2020 US Census, by Simson Garfinkel (George Washington University)

Keywords: differential privacy, disclosure avoidance, statistical disclosure limitation, US Census Bureau

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 Puzzle of the Missing Robots, by Suzanne Berger (MIT) and Benjamin Armstrong (MIT)

Keywords: robots, automation, manufacturing, workforce

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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