AI is transforming how people communicate, make decisions, build relationships, and access information. 

Yet many of the most important risks associated with AI are not technical failures—they emerge from how humans interact with AI systems and with one another through those systems.

My work focuses on the intersection of behavioral science, AI safety, trust & safety, and digital product design. I study how AI can influence human behavior, how manipulation and fraud evolve in AI-mediated environments, and how organizations can design safer and more effective systems.

Behavioral AI Lab

Behavioral AI Lab is an independent research and advisory initiative focused on understanding and improving human outcomes in AI-enabled environments.

Current areas of focus include:

🔹 AI-enabled manipulation and scams

🔹 Behavioral approaches to AI safety

🔹 Trust & Safety and online harms

🔹 Human-AI interaction and decision-making

🔹 Safety by Design for digital products

🔹 AI adoption and organizational behavior

The lab combines behavioral science, machine learning, product safety, and real-world operational experience to develop practical approaches for reducing harm and improving decision quality.

Current Initiative

Global Partnership for Detecting and Preventing AI-Enabled Manipulation and Scams

Behavioral AI Lab is developing an international initiative to address one of the fastest-growing forms of AI-enabled harm: manipulation and fraud conducted through personalized digital conversations.

The initiative builds on research analyzing more than 15,000 scammer messages from documented cryptocurrency romance scam cases across multiple countries and languages.

The goal is to advance open research, practical tools, and cross-sector collaboration that help protect vulnerable users before significant harm occurs.

The initiative welcomes collaboration from researchers, civil society organizations, technology companies, and policymakers interested in protecting vulnerable users from AI-enabled manipulation and scams.

Status: Proposal submitted for consideration to the United Nations AI Dialogue Partnerships Hub (2026).

About Tomomi

I have over 20 years of experience across academia, international organizations, and the technology industry.

Previous roles include:

🔹 Director of Safety by Design, Match Group

🔹 Senior Technical Program Manager, Amazon

🔹 Senior Economist, World Bank

🔹 Assistant Professor, Arizona State University

My work has been published in leading journals including the American Economic Review and Harvard Business Review.

I have delivered keynote presentations and workshops at the United Nations Headquarters and international forums focused on AI governance, digital safety, and responsible innovation.

Research, Speaking, and Collaboration

I regularly write and speak about:

🔹 Safety by Design

🔹 AI Safety

🔹 Behavioral AI

🔹 Trust & Safety

🔹 Online manipulation and scams

🔹 Human-centered technology design

For research collaborations, speaking engagements, or partnership inquiries, please get in touch.