Schedule

Saturday, Dec 14, 2024 (Location: Eastern Meeting Rooms 19&20)

8:45-9:00am: Welcome

9:00-9:30am: Invited talk: Andreea Bobu (MIT)
Learning a Lot from a Little: How Structure Enables Efficient and Human-Aligned Robot Learning

9:30-10:00am: Invited talk: Michael Bernstein (Stanford)
Interactive Simulacra of Human Attitudes and Behavior

10:00-10:30am: Spotlight talks

• PAL: Pluralistic Alignment Framework for Learning from Heterogeneous Preferences (Daiwei Chen, Yi Chen, Aniket Rege, Ramya Korlakai Vinayak)

• The Double-Edged Sword of Behavioral Responses in Strategic Classification (Raman Ebrahimi, Kristen Vaccaro, Parinaz Naghizadeh)

• Superficial Alignment, Subtle Divergence, and Nudge Sensitivity in LLM Decision-Making (Manuel Cherep, Nikhil Singh, Patricia Maes)

• Words that work: Using language to generate hypotheses (Rafael M. Batista, James Ross)

• Learning to Cooperate with Humans using Generative Agents (Yancheng Liang, Daphne Chen, Abhishek Gupta, Simon Shaolei Du, Natasha Jaques)

• Meaning Through Motion: DUET – A Multimodal Dataset for Kinesics Analysis in Dyadic Activities (Cheyu Lin, Katherine A. Flanigan, Sirajum Munir)

10:30-10:45am: Coffee break

10:45-11:45am: Panel (Michael Bernstein, Andreea Bobu, Tom Griffiths, Hoda Heidari, Hannah Rose Kirk, Jon Kleinberg, Sendhil Mullainathan, moderated by Katie Collins)

11:45am-1pm: Lunch break

1:00-1:30pm: Invited talk: Tom Griffiths (Princeton)
Combining theory and data to predict and explain human decisions 

1:30-2:00pm: Invited talk: Sendhil Mullainathan (MIT)
Misunderstandings

2:00-3:30pm: Poster session

3:30-3:45pm: Coffee break

3:45-4:15pm: Invited talk: Hoda Heidari (CMU)
Examining large language models as qualitative research participants

4:15-4:45pm: Invited talk: Hannah Rose Kirk (Oxford)
Putting the H Back in RLHF: Challenging assumptions of human behaviour for AI alignment

4:45-5:00pm: Concluding remarks