New MIT class uses anthropology to improve chatbots
Summary
MIT has introduced an undergraduate course, 6.S061/21A.S02 (Humane User Experience Design or Humane UXD), that merges computer science with linguistic anthropology to teach students how to design AI chatbots for positive social impact. Developed by computer scientist Arvind Satyanarayan and anthropologist Graham Jones with funding from the MIT Morningside Academy for Design and the Common Ground for Computing Education, the class focuses on creating "moral partners" rather than addictive distractions. Students use Google's Gemini to build projects like "Pond," a chatbot assisting college graduates with "adulting" and social skills, and "News Nest," which uses bird characters to help young people engage with credible news sources without doomscrolling. Another project, "M^3," is a multi-agent murder mystery game featuring chatbots with distinct personalities from Gemini, ChatGPT, Grok, and Claude.
Key takeaway
For AI Engineers and UX Designers focused on ethical AI development, this MIT initiative highlights the value of integrating humanities, specifically anthropology, into your design process. Your teams should explore cross-disciplinary partnerships to develop AI systems that prioritize user well-being and social guidance over mere engagement, potentially leading to more impactful and responsible applications.
Key insights
Interdisciplinary collaboration between computer science and anthropology can create more humane AI.
Principles
- Design AI as social guides, not distractions.
- Integrate human interactional needs into programming.
- Leverage latent genres in LLMs for design.
Method
The Humane UXD class teaches students to integrate linguistic anthropology methods, such as nuanced interviewing techniques, into AI chatbot design, focusing on user experience and social well-being.
In practice
- Develop chatbots for life transitions (e.g., post-college).
- Use non-human avatars to buffer emotional manipulation.
- Incorporate role-playing for skill-building in chatbots.
Topics
- Humane AI Design
- Chatbot Development
- Linguistic Anthropology
- User Experience Design
- Interdisciplinary Education
Best for: AI Student, AI Engineer, AI Ethicist
Related on AIssential
Editorial summary, takeaway, and curation by AIssential. Original article published by MIT News - Artificial intelligence.