coe491-ai-and-society-spring-2024

[CoE491/EE488/STP483] AI and Its Social Impact / Spring 2024

Please send email to coe491.ai.society@gmail.com regarding any class-related issues with “[CoE491]” to the title.

All contents in this document are subject to change.

Announcement

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Teaching Staff

Lecturer

TA

Please send emails to coe491.ai.society@gmail.com. We will not consider any class-related email arriving in our personal accounts. Please put “[CoE491] to the title when you email. (e.g., [CoE491] Do we have a class on MM/DD?)

Time & Location

Schedule (Subject to Change)

week Day & Time Type Topic Lectures Project
1 02/29
10:00
Introduction
Introduction    
2 03/07
11:00
Discussion LLM: Technology 2 videos before class Choose Teams
3 03/14
11:00
Discussion LLM: Social Impact 2 videos before class  
4 03/21
11:00
Discussion LLM: Legal Aspects 1 video before class  
5 03/28
11:00
Discussion Multimodal AI: Legal Aspects 1 video before class Proposal Presentations (Upload Video), Peer-review
6 04/04
11:00
Discussion Multimodal AI: Social Impact Video before class  
7 04/11
11:00
Discussion Multimodal AI: Technology 1 video before class  
8 04/18 No Class (Midterm Exam)      
9 04/25
10:30
Discussion Automated Decision Making: Technology (+Guest Lecture)    
10 05/02
11:00
Discussion Automated Decision Making: Social Impact 3 videos before class Project Progress Presentations (Upload Video), Peer-review
11 05/09
11:00
Discussion Automated Decision Making: Legal Aspects 1 video before class  
12 05/16
11:00
Discussion Self-driving: Legal Aspects 1 video before class  
13 05/23
10:30
Discussion Self-driving: Social Impact (+Guest Lecture) 1 video before class  
14 05/30
11:00
Discussion Self-driving: Technology 3 videos before class  
15 06/06
No Class (Holiday)      
16 06/13
TBD
Project Presentation     Final Presentation; Final Report

Course

This course consists of lectures, readings, discussions, quizzes, and team projects. Students will be asked to do the following things.

  1. Group discussion write-up, one per week
  2. Individual discussion prompt, one per week
  3. Team project proposal presentation, progress presentation, final presentation, final report
  4. Peer review of team project presentations

Lecture

The students will be asked to watch one or two videos before each class, and some classes will also include in-class lectures.

Discussion

Students will discuss with their groups the topics based on the lectures/interviews they watched with thought-provoking questions. You will analyze deeply how artificial intelligence affects various aspects of our society, including but not limited to policy, ethics, education, and social services. You will present and discuss ideas for further consideration in AI and its social impact.

Team Project

The goal of the team project is to research a case different from the four cases we are studying in class. The case should be based on AI technology; and the project should discuss the technology, social impact, and legal aspects of the technology, similar to how the lecturers present the cases. The project should include one or more interviews with the technology/social/legal experts who are knowledgeable about the case. The interviews can be conducted orally (phone interviews are okay) or by email. See the details on this page.

Policy on Large Language Models

Recent progress in large-scale language models (LLM), such as ChatGPT, motivates explicit policies.

Evaluation (Subject to Change)

The final grade of this course is provided as S/U, and the cut-off point of S grade will be announced soon.

  1. Attendance and participation 10%
  2. Group discussion write-ups 20%
  3. Peer reviews 10%
  4. Team project 60%