Stanford Causal Science Conference

Frontiers in AI Evaluation

Event Details:

Friday, April 24, 2026
8:00am - 6:00pm PDT

Location

Li Ka Shing Center for Learning and Knowledge, 291 Campus Drive, Stanford, 94305
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This event is open to:

Alumni
Faculty/Staff
General Public
SDS Industry Affiliate Members
Postdocs
Students

The annual Causal Science Conference is a premier one-day, in-person event that brings together leading researchers and industry practitioners working in evaluation, experimentation, and causal inference. The conference showcases cutting-edge methodologies, emerging trends, and real-world applications that shape how data informs decision-making across domains.

This year’s conference will focus on AI evaluation, featuring diverse perspectives on how we evaluate AI systems—from methodological advances to applied case studies and normative inquiry.

The event is sold out

  • General Admission: $375
  • Faculty/Staff: $85
  • Student/Postdoc: $45
  • Stanford Affiliates: Free 

Sponsor

 

Agenda

Start TimeEnd TimeSessionSpeaker(s)
8:00 AM9:00 AMRegistration & Coffee 
9:00 AM9:15 AMOpening RemarksGuido Imbens, Stanford Data Science Faculty Director, and Applied Econometrics Professor
9:15 AM9:45 AMAI's Models of the World, and OursJon Kleinberg, Professor of Computer Science & Information Science, Cornell University
9:45 AM10:15 AMWhy We Must Go Beyond Post-Training for Robust AI AlignmentDylan Hadfield-Menell, Assistant Professor of Artificial Intelligence and Decision Making, MIT
10:15 AM10:45 AMScalable Evaluation of Multimodal AI Systems for Creative OptimizationBahareh Azarnoush, Director, Multimodal Generative AI & Causal Inference, Netflix
10:45 AM11:15 AMBreak 
11:15 AM11:45 AMEvaluation Under Pressure: Lessons from Deploying Clinical AI at ScaleZachary Lipton, Cofounder & CTO, Abridge | Associate Professor of Machine Learning, Carnegie Mellon University
11:45 AM12:15 PMAI and Human LearningEmma Brunskill, Associate Professor of Computer Science, Stanford University
12:15 PM1:45 PMLunch & Poster Session 
1:45 PM2:15 PMThe Benchmark ProblemBenjamin Recht, Professor of Electrical Engineering & Computer Sciences, UC Berkeley
2:15 PM2:45 PMBenchmarking to Advance the AI FrontierOfir Press, Research Scientist, Meta FAIR
2:45 PM3:15 PMKeeping up with AI capabilitiesDavid Rein, Member of Technical Staff, METR
3:15 PM3:45 PMBreak 
3:45 PM4:15 PMTowards Self-Driving Software ReliabilityAnish Agarwal, CEO, Traversal | Assistant Professor, Columbia University
4:15 PM4:45 PMOptimize Your Agent's GPA with Coding AgentsAnupam Datta, Principal Research Scientist, Snowflake
4:45 PM6:00 PMReception & Poster Session 


 

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