About
Discover how behavioral science helps build AI that works better for people.
Behavioral Science for Human-Centered AI.
About Behavioral AI Lab
Behavioral AI Lab is an independent research and advisory initiative focused on the human side of artificial intelligence.
While much of AI research focuses on models and algorithms, we study how people interact with AI, how AI shapes decisions and behavior, and how behavioral science can improve the design, evaluation, and governance of AI systems.
Our work combines behavioral science, AI evaluation, and real-world applications to help organizations build AI that is more trustworthy, more effective, and more human-centered.
Behavioral AI Lab is an independent research and advisory initiative focused on the human side of artificial intelligence.
While much of AI research focuses on models and algorithms, we study how people interact with AI, how AI shapes decisions and behavior, and how behavioral science can improve the design, evaluation, and governance of AI systems.
Our work combines behavioral science, AI evaluation, and real-world applications to help organizations build AI that is more trustworthy, more effective, and more human-centered.
Our Mission
Our mission is to help organizations build AI that better understands and serves people.
We apply behavioral science to improve how AI is designed, evaluated, and deployed—making AI systems more trustworthy, more effective, and more aligned with human behavior and decision-making.
Our vision
We envision a future where artificial intelligence is not only technically advanced but also deeply human-centered.
By bringing behavioral science into AI research, evaluation, and governance, we aim to help shape AI that people can trust and that creates positive outcomes for society.
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 helping organizations design, evaluate, and deploy AI systems that better align with how people make decisions, build trust, and interact with technology. She combines behavioral science, AI evaluation, and real-world operational experience to improve AI deployment, safety, and human-centered system design.
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 also presented her work on AI governance, Safety by Design, and AI deployment at the United Nations.
Learn more about Tomomi's professional background on LinkedIn →
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 design AI systems that are safe, equitable, and aligned with human behavior.
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
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
Generative AI Week
Discussed practical approaches to integrating behavioral science into enterprise AI systems through Safety by Design principles.
DataFest Tbilisi
DataFest Tbilisi
Presented approaches for integrating behavioral science, safety, and ethics into AI and data systems.
About
Discover how behavioral science helps build AI that works better for people.
Behavioral Science for Human-Centered AI.
About Behavioral AI Lab
Behavioral AI Lab is an independent research and advisory initiative focused on the human side of artificial intelligence.
While much of AI research focuses on models and algorithms, we study how people interact with AI, how AI shapes decisions and behavior, and how behavioral science can improve the design, evaluation, and governance of AI systems.
Our work combines behavioral science, AI evaluation, and real-world applications to help organizations build AI that is more trustworthy, more effective, and more human-centered.
Behavioral AI Lab is an independent research and advisory initiative focused on the human side of artificial intelligence.
While much of AI research focuses on models and algorithms, we study how people interact with AI, how AI shapes decisions and behavior, and how behavioral science can improve the design, evaluation, and governance of AI systems.
Our work combines behavioral science, AI evaluation, and real-world applications to help organizations build AI that is more trustworthy, more effective, and more human-centered.
Our Mission
Our mission is to help organizations build AI that better understands and serves people.
We apply behavioral science to improve how AI is designed, evaluated, and deployed—making AI systems more trustworthy, more effective, and more aligned with human behavior and decision-making.
Our vision
We envision a future where artificial intelligence is not only technically advanced but also deeply human-centered.
By bringing behavioral science into AI research, evaluation, and governance, we aim to help shape AI that people can trust and that creates positive outcomes for society.
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 helping organizations design, evaluate, and deploy AI systems that better align with how people make decisions, build trust, and interact with technology. She combines behavioral science, AI evaluation, and real-world operational experience to improve AI deployment, safety, and human-centered system design.
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 also presented her work on AI governance, Safety by Design, and AI deployment at the United Nations.
Learn more about Tomomi's professional background on LinkedIn →
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 design AI systems that are safe, equitable, and aligned with human behavior.
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
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
Generative AI Week
Discussed practical approaches to integrating behavioral science into enterprise AI systems through Safety by Design principles.
DataFest Tbilisi
DataFest Tbilisi
Presented approaches for integrating behavioral science, safety, and ethics into AI and data systems.