CORPORATE TALK SERIES
Dr. Naomi Grewal
(Director, Research at LinkedIn)
Bio: Naomi Grewal, Ph.D. is a research executive and applied psychologist who has led research and insights organizations at some of the world’s most influential tech companies, including LinkedIn, Meta, Uber, Pinterest, and Workday. Currently Director of Research at LinkedIn, Naomi also serves as faculty at the University of Southern California, where she teaches business psychology to graduate students.
Across her 15+ year career, Naomi has built and scaled research teams, shaped product strategy at the executive level, and championed human-centered design in AI-driven systems. Her expertise spans user experience, organizational behavior, behavioral science, and systems thinking. She is particularly passionate about the intersection of cognition, technology, and ethical product development.
Title of the Talk: Training for Complexity: Preparing the Next Generation of Professionals in an AI-Driven World.
Abstract: In an era of rapid AI advancement, our biggest design challenges are no longer technical—they’re behavioral, ethical, and systemic. As automation reshapes how we work, think, and learn, tomorrow’s professionals must be equipped not only to understand human behavior but to shape systems that respect and reflect it.
In this keynote, Dr. Grewal draws from her experience leading research organizations at LinkedIn, Meta, and Uber—and her work as a university faculty member—to explore how we can prepare the next generation of professionals to thrive in complex, AI-mediated environments.
She will explore:
- How AI is reshaping human cognition, learning, and decision-making
- How behavioral science can guide responsible and engaging AI design
- Why today’s professionals must train for systems thinking—not just technical skill
- What she teaches her students about discernment, impact, and ownership in a generative AI world
Part talk, part call to action—this keynote invites educators, technologists, and leaders to reimagine what it means to build with empathy, intentionality, and resilience in the age of AI.
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