HAI Weekly Seminar with Ge Wang
Humans in the Loop: The Artful Design of Interactive AI Systems
How might the shaping of technology make our lives richer and more meaningful? This presentation will be a journey through the design of everyday tools, musical instruments, social experiences, and human-in-the-loop AI systems where, specific to each situation, we strive to find the appropriate balance between automation and meaningful human interaction. Through an artful design lens, the larger question posed is both practical and philosophical: how do we want to live with artificial intelligence?
Accompanying Article: Humans in the Loop: The Design of Interactive AI Systems
Ge WangAssociate Professor, Center for Computer Research in Music and Acoustics (CCRMA); Department of Music and, by courtesy, of Computer Science, Stanford University
Sign Up for Stanford Continuing Studies Course on "Artful Design: How We Shape Technology and How Technology Shapes Us"Stanford Laptop OrchestraStanford VR Design LabChucK Music Programming LanguageArtful Design Book Site
Stanford VR Design Lab Community Mailing List
No tweets available.Related Events
Zoë Hitzig | How People Use ChatGPT
Despite the rapid adoption of LLM chatbots, little is known about how they are used. We approach this question theoretically and empirically, modeling a user who chooses whether to complete a task herself, ask the chatbot for information that reduces decision noise, or delegate execution to the chatbot...
.png&w=1920&q=100)
Despite the rapid adoption of LLM chatbots, little is known about how they are used. We approach this question theoretically and empirically, modeling a user who chooses whether to complete a task herself, ask the chatbot for information that reduces decision noise, or delegate execution to the chatbot...
Hari Subramonyam | Learning by Creating: A Human-Centered Vision for AI in Education
Joel Becker | Reconciling Impressive AI Benchmark Performance with Limited Developer Productivity Impacts
AI coding agents now complete multi-hour coding benchmarks with roughly 50% reliability, yet a randomized trial found experienced open-source developers took about 19% longer when allowed frontier AI tools than when tools were disallowed...
.png&w=1920&q=100)
AI coding agents now complete multi-hour coding benchmarks with roughly 50% reliability, yet a randomized trial found experienced open-source developers took about 19% longer when allowed frontier AI tools than when tools were disallowed...