CMU 82-183 AI for Humanities: The Multi-dimensions of World Languages, Arts, and Cultures

Course links — LCAL Site, Course Site

Course objective — This interdisciplinary course brings together experts from diverse fields to explore the dynamic relationship between Artificial Intelligence and Humanities. The course is structured around two central questions: 1. How can AI enrich the field of Humanities research, teaching, and applications? 2. What perspectives can Humanities studies offer to the development of AI? By addressing these questions, the course offers unique insights into how these domains can mutually enrich and challenge each other. During the first ten weeks of the semester, you'll engage with guest speakers from various disciplines at CMU, including Digital Humanities, Computer Science, Mechanical Engineering, Tepper School of Business, Language Technology Institute, and Heinz College. Industry professionals from tech giants like Google and Amazon will also come and share their perspectives. Each topic introduced by the guest speakers will be followed by in-depth discussions and seminars, providing a well-rounded view of AI's impact on humanities and vice versa. The final four weeks of the course will be dedicated to collaborative group projects, where students will apply the knowledge and skills they've acquired to their own AI for Humanities projects. By the end of this course, students will: 1. Gain a comprehensive understanding of AI technologies, developing knowledge and skills to leverage AI for advancing humanities scholarship and conducting collaborative projects. 2. Explore the intricate relationship between AI and the humanities. Learn to analyze, evaluate, and articulate the ethical implications of AI integration in humanities and the value of humanities perspectives in guiding responsible AI development. 3. Formulate interdisciplinary approaches that can bridge AI and humanities. Synthesize perspectives from both AI and humanities to address complex interdisciplinary challenges.

Lecture schedule for Spring 2024

Week Day, Date Lec# Topic
1 Wednesday, Jan 17, 2024 1 Overview [Slide]
2 Monday, Jan 22, 2024 2 Paper Reading: Languges aquasition [Slide]
2 Wednesday, Jan 24, 2024 3 Lecture: Introduction to LLMs: Transformers, ChatGPT [Slide]
3 Monday, Jan 29, 2024 4 Workshop: LLMs for second language study (Chinese Pinyin) [Slide]
3 Wednesday, Jan 31, 2024 5 Workshop: LLMs for second language study (Chinese Writing System) [Slide]
3 Monday, Feb 5, 2024 6 Lab 1: Introduction and hands-on tutorial [Slide]
4 Wednesday, Feb 7, 2024 7 Introduction and hands-on tutorial [Slide]
4 Monday, Feb 12, 2024 8 Invited speaker: Professor Gang Liu [Slide]
5 Wednesday, Feb 14, 2024 9 Invited speaker: TBA
5 Monday, Feb 19, 2024 10 Capstone Project 1: Avatar story competition[Slide]
6 Wednesday, Feb 21, 2024 11 Lecture: Introduction to generative AI [Slide]
6 Monday, Feb 26, 2024 12 Paper Reading: Generative AI
7 Wednesday, Feb 28, 2024 13 Workshop: Generative AI for Meditation Healing Music Part 1 [Slide]
7 Monday, Mar 4, 2024 14 No class
8 Wednesday, Mar 6, 2024 No class
8 Monday, Mar 11, 2024 Workshop: Generative AI Meditation Healing Music 2 [Slide]
9 Wednesday, Mar 13, 2024 15 Workshop: Generative AI for Meditation Healing Music Part 3 [Slide]
9 Monday, Mar 18, 2024 16 Lab 2: Introduction and hands-on tutorial
10 Wednesday, Mar 20, 2024 17 Invited speaker: TBA [Slide]
10 Monday, Mar 25, 2024 18 Invited speaker: TBA[Slide]
11 Wednesday, Mar 27, 2024 19 Capstone Project 2: Generative AI for Meditation Healing Music
11 Monday, Apr 1, 2024 20 Lecture: Introduce to social infrastrture: Intelligent autonomy and smart cities [Slide]
12 Wednesday, Apr 3, 2024 21 Lecture: AI for sustainable communities: AI Safety[Slide]
12 Monday, Apr 8, 2024 Lecture: AI for sustainable communities: fairness, privacy
13 Wednesday, Apr 10, 2024 22 Lab 3: coalational fairness for social good
13 Monday, Apr 15, 2024 23 Invited speaker: TBA [Slide]
14 Wednesday, Apr 17, 2024 24 Invited speaker: TBA
14 Monday, Apr 22, 2024 25 Lab 3: coalational fairness for social good [Slide]
15 Wednesday, Apr 24, 2024 26 Lab 3: coalational fairness for social good

Email

tings@andrew.cmu.edu

Phone

(412)268-5669

Address

Department of Modern Languages
341 Posner Hall, 5000 Forbes Avenue
Pittsburgh, PA 15213