Jonah Berger
Wharton Marketing Professor | Bestselling Author of Contagious, The Catalyst & Magic Words | Expert on Viral Marketing, Influence & Persuasion
AI Pioneer & Creator of the Embodied Conversational Agent | Dean's Professor, Carnegie Mellon University | Inaugural Chair, PRAIRIE Institute | Co-Founder, EqualAI
The inventor of the Embodied Conversational Agent and a recurring Davos keynote presence for over a decade, Cassell sits at the precise intersection where AI research meets governance, education, and social impact. Her talks give senior audiences an evidence-based roadmap for the generative AI era — what next-generation systems will reshape, where bias is baked in, and how to build technology that amplifies human potential.
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Few researchers have shaped the trajectory of conversational AI more fundamentally than Justine Cassell. Over three decades, she has built the field from the ground up — moving from the study of human storytelling and gesture to engineering the first systems capable of holding a genuinely human-like exchange. Today, as generative AI reshapes every sector, Cassell’s foundational work and current research place her among the most authoritative voices on what AI can do, what it cannot, and how organizations and governments must respond.
AI speaker Justine Cassell holds the Dean’s Professorship in Language Technologies at Carnegie Mellon University’s School of Computer Science, where she is also Director Emerita of the Human-Computer Interaction Institute and co-founder of the Simon Initiative on Technology-Enhanced Learning. Simultaneously, she serves as Inaugural International Chair at the PRAIRIE Institute in Paris — France’s flagship interdisciplinary AI research center — and as Director of Research at Inria Paris. Across both institutions, her work addresses the social dimensions of AI: how machines can be designed to earn trust, reduce bias, and genuinely amplify human capability rather than replace it.
Her signature contribution is the Embodied Conversational Agent (ECA) — the first conversational agent with a body, combining speech, gesture, facial expression, and intonation to interact with people in human-like ways. That breakthrough opened entirely new lines of research: virtual peers that help children with autism build social skills, AI tutors that boost literacy in underserved communities, and socially-aware assistants that recognize and respond to rapport in real time. Her team’s live demonstration of a Socially Aware Robot Assistant (SARA) at Davos remains one of the most memorable AI showcases in the history of the World Economic Forum.
Cassell’s influence extends well beyond academia. She has been appointed to France’s Conseil National du Numérique, advising on national digital strategy, and has consulted for governments across Europe, Asia, and the United States, including the Obama White House. At the World Economic Forum, she co-chairs the Global Future Council on the Future of Computing and has been a recurring keynote presence at Davos for over a decade — among the most sustained relationships between a single AI researcher and the world’s foremost leadership forum. She is also co-founder of EqualAI, the nonprofit dedicated to reducing gender and structural bias in artificial intelligence systems.
Her recognitions include the MIT Edgerton Prize, the Anita Borg Institute Women of Vision Award, the AAMAS Test of Time Paper Award, and the National Academy of Sciences Henry and Bryna David Prize. She is a Fellow of the AAAS, the ACM, and the Royal Society of Edinburgh, and holds an honorary doctorate from the University of Edinburgh.
As a speaker, Justine Cassell brings something that most AI commentators cannot: the combination of frontier research credentials, a track record of building systems that actually work, and a decade-plus of advising presidents, prime ministers, and Fortune 500 boards. Senior audiences — at technology summits, corporate strategy offsites, government convenings, and education conferences — leave with a rigorous, evidence-based framework for navigating the AI transition: what to build, what to resist, and how to ensure that the humans in the room remain the point.
Generative AI is an extraordinary learning partner — an endlessly patient interlocutor that debates, challenges, and adapts to any audience. But it was engineered for engagement and coherence, not accuracy or wisdom. Drawing on her pioneering work building the first multimodal conversational agent and her ongoing policy work with governments on AI in democracy, Cassell decodes the hidden design decisions behind mainstream AI systems and outlines the critical-thinking skills — what she calls "discernment" — that educators, corporate leaders, and citizens must cultivate. Attendees leave with a practical framework for deploying generative AI that elevates judgment rather than outsourcing it.
Most AI systems are built to be smart. Very few are built to be trusted. Cassell argues that the next competitive frontier is not raw capability but social intelligence — the ability of AI to recognize rapport, adapt conversationally, and behave in ways that bring out the best in the humans it works with. This talk draws on decades of research into Embodied Conversational Agents, peer-learning AI, and socially-aware assistants to show leaders what human-centered AI design actually looks like, and why organizations that get this right will outperform those that don't.
AI systems do not inherit human values automatically — they inherit human data, with all its inequities embedded. Cassell, co-founder of EqualAI and a longtime adviser to governments on digital policy, maps the sources of algorithmic bias in hiring, education, healthcare, and public services, and offers concrete strategies for building and procuring AI responsibly. This is not a cautionary tale but an action agenda: what organizations, policymakers, and technologists must do now to ensure that AI expands opportunity rather than narrows it.
Will AI and robotics eliminate jobs, or transform them? Cassell brings a researcher's precision to a question that dominates every boardroom agenda. She distinguishes between the tasks machines will absorb, the capabilities that will become more valuable, and the design choices that determine which future actually arrives. Grounded in her research on human-AI collaboration and informed by her role at the World Economic Forum's Global Future Council on Computing, this keynote equips executives with a clear-eyed, evidence-based view of workforce strategy in the decade ahead.
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