About
Building AI that understands human behavior.
Behavioral AI: Understanding the Human Side of AI.
About Behavioral AI Lab
Behavioral AI Lab is an independent research and technology organization focused on the behavioral layer of artificial intelligence.
While much of AI research focuses on models, algorithms, and individual outputs, we study what happens when AI interacts with people over time—how trust develops, how decisions are influenced, and how behavioral risks such as manipulation, persuasion, and dependency can emerge across interactions.
Our work combines behavioral science, proprietary behavioral data, AI evaluation, and technology development to turn behavioral insight into practical systems. We develop methods and tools for detecting behavioral risks, evaluating human–AI interactions, and designing safer, more human-centered AI.
Our Mission
Our mission is to build a safer, more human-centered AI ecosystem by understanding the behavioral dynamics between people and AI.
We combine behavioral science, data, and AI to detect behavioral risks, evaluate human–AI interactions, and design systems that better protect and serve people.
Our vision
Our vision is to make Behavioral AI a foundational layer of AI safety and development.
We envision a future where AI systems are evaluated not only by what they can do or say, but by how they influence human behavior, decisions, trust, and well-being over time.
FOUNDER
Tomomi Tanaka
Founder, Behavioral AI Lab
Behavioral Scientist
AI Strategist
Tomomi Tanaka
Founder
Behavioral AI Lab
Behavioral Scientist
AI Strategist
Tomomi Tanaka is a behavioral scientist and AI strategist working at the intersection of behavioral science, artificial intelligence, and digital safety.
Her work focuses on Behavioral AI—the study and development of AI systems that understand and respond to human behavior. Her research examines how trust, persuasion, manipulation, and decision-making emerge in human–AI interactions, and how behavioral science can be used to detect risks and design safer AI systems.
Before founding Behavioral AI Lab, she held leadership roles at Amazon, Oracle, Uber, Match Group, and the World Bank, leading initiatives spanning AI, Trust & Safety, digital products, and large-scale technology systems.
Her research has been published in leading academic journals, including the American Economic Review, and her writing has appeared in Harvard Business Review. She has presented her work on AI governance, Safety by Design, and AI safety to international, government, industry, and research audiences.
Learn more about Tomomi's professional background on LinkedIn →
Selected Talks & Global Engagements
ICPD30 Global Dialogue on Technology (United Nations, New York) – June 2024
Invited speaker at the United Nations ICPD30 Global Dialogue on Technology, discussing how behavioral science can help shape AI and digital systems that are safer, more equitable, and more human-centered.
Invited speaker at the United Nations ICPD30 Global Dialogue on Technology, discussing how behavioral science can help design AI systems that are safe, equitable, and aligned with human behavior.
Trust & Safety Summit UK
London — March 2024
Trust & Safety Summit UK
Delivered a keynote on Safety by Design, demonstrating how behavioral science can be embedded into digital products to reduce harm, strengthen trust, and improve user safety at scale.
Generative AI Week
Atlanta ー October 2024
Generative AI Week
Presented practical approaches to integrating behavioral science into generative AI systems through Safety by Design principles.
DataFest Tbilisi
Tbilisi — November 2025
DataFest Tbilisi
Presented approaches for integrating behavioral science, safety, and human-centered design into AI and data systems.
About
Building AI that understands human behavior.
Behavioral AI: Understanding the Human Side of AI.
About Behavioral AI Lab
Behavioral AI Lab is an independent research and technology organization focused on the behavioral layer of artificial intelligence.
While much of AI research focuses on models, algorithms, and individual outputs, we study what happens when AI interacts with people over time—how trust develops, how decisions are influenced, and how behavioral risks such as manipulation, persuasion, and dependency can emerge across interactions.
Our work combines behavioral science, proprietary behavioral data, AI evaluation, and technology development to turn behavioral insight into practical systems. We develop methods and tools for detecting behavioral risks, evaluating human–AI interactions, and designing safer, more human-centered AI.
Our Mission
Our mission is to build a safer, more human-centered AI ecosystem by understanding the behavioral dynamics between people and AI.
We combine behavioral science, data, and AI to detect behavioral risks, evaluate human–AI interactions, and design systems that better protect and serve people.
Our vision
Our vision is to make Behavioral AI a foundational layer of AI safety and development.
We envision a future where AI systems are evaluated not only by what they can do or say, but by how they influence human behavior, decisions, trust, and well-being over time.
FOUNDER
Tomomi Tanaka
Founder, Behavioral AI Lab
Behavioral Scientist
AI Strategist
Tomomi Tanaka
Founder
Behavioral AI Lab
Behavioral Scientist
AI Strategist
Tomomi Tanaka is a behavioral scientist and AI strategist working at the intersection of behavioral science, artificial intelligence, and digital safety.
Her work focuses on Behavioral AI—the study and development of AI systems that understand and respond to human behavior. Her research examines how trust, persuasion, manipulation, and decision-making emerge in human–AI interactions, and how behavioral science can be used to detect risks and design safer AI systems.
Before founding Behavioral AI Lab, she held leadership roles at Amazon, Oracle, Uber, Match Group, and the World Bank, leading initiatives spanning AI, Trust & Safety, digital products, and large-scale technology systems.
Her research has been published in leading academic journals, including the American Economic Review, and her writing has appeared in Harvard Business Review. She has presented her work on AI governance, Safety by Design, and AI safety to international, government, industry, and research audiences.
Learn more about Tomomi's professional background on LinkedIn →
Selected Talks & Global Engagements
ICPD30 Global Dialogue on Technology (United Nations, New York) – June 2024
Invited speaker at the United Nations ICPD30 Global Dialogue on Technology, discussing how behavioral science can help shape AI and digital systems that are safer, more equitable, and more human-centered.
Invited speaker at the United Nations ICPD30 Global Dialogue on Technology, discussing how behavioral science can help design AI systems that are safe, equitable, and aligned with human behavior.
Trust & Safety Summit UK
London — March 2024
Trust & Safety Summit UK
Delivered a keynote on Safety by Design, demonstrating how behavioral science can be embedded into digital products to reduce harm, strengthen trust, and improve user safety at scale.
Generative AI Week
Atlanta ー October 2024
Generative AI Week
Presented practical approaches to integrating behavioral science into generative AI systems through Safety by Design principles.
DataFest Tbilisi
Tbilisi — November 2025
DataFest Tbilisi
Presented approaches for integrating behavioral science, safety, and human-centered design into AI and data systems.