AI Thought Partner Lab

The AI Thought Partner Lab (AITP Lab) develops AI systems that learn and think with people rather than instead of people. We use tools like representational alignment to study the parallels between human and artificial intelligence, probe the limits of learning and teaching with small data, and build AI thought partners for human collaboration.

The lab is led by Ilia Sucholutsky, currently a Faculty Fellow/Assistant Professor at the NYU Center for Data Science and an incoming Assistant Professor in the Department of Computer Science at Purdue University.

News

December 2024: We’re organizing the BehavioralML Workshop at NeurIPS 2024!

September 2024: Ilia is starting as a Faculty Fellow/Assistant Professor at NYU CDS!

June 2024: We’re organizing the LLMs and Cognition Workshop at ICML 2024!

May 2024: We’re organizing the AI session at Neuromonster 2024!

May 2024: We’re organizing the Re-Align Workshop at ICLR 2024!

December 2023: Our paper, “Alignment with human representations supports robust few-shot learning”, was accepted as a spotlight at NeurIPS 2023!

August 2023: Our papers, “Human-in-the-loop mixup” and “On the informativeness of supervision signals”, were accepted, respectively, as an oral and spotlight at UAI 2023!

July 2023: We’re organizing the LLMs Meet Cognitive Science Workshop at CogSci 2023!