Reading the Room: How AI Is Learning to Understand Human Behavior
Join us on the 11th of November for a panel discussion with three people working at the forefront of how AI reads and understands human behavior. We'll start with what's become possible over the last few years, then open up to where the field should go next. Among other topics, we'll discuss:
What it means for AI to "understand" a person, and how that differs from detecting a signal
What real-time multimodal cues and conversational data each reveal about behavior, and what each misses
What behavioral science adds to AI systems that engineering alone doesn't
How research on social cognition and applied AI can learn from each other
The responsibilities that come with building machines that interpret people
What should exist in the next five years that doesn't yet
Our Panelists:
Bertram Malle is a Professor of Cognitive and Psychological Sciences at Brown University and co-director of the Humanity-Centered Robotics Initiative. His research covers social and moral cognition, theory of mind, and human-robot interaction.
Paula Petcu is Co-founder and CEO of Interhuman AI, which builds social intelligence for AI from facial expression, body language, and voice. She is one of Sifted’s 100 Women in Tech in Europe 2026.
Antoine Ferrère is Co-founder and CEO of LumenX AI, which runs AI-moderated voice conversations grounded in behavioral science to show what actually drives people's decisions. He is also a co-founder and President of the Behavioural AI Institute.
Moderated by Flora Parragi and Bhushan Kumar from Bescy.