Behavioral AI Lab (formerly Safety by Design Lab) has been selected for an accelerator program, the J-StarX AI GTM Support Course, run by JETRO and Startup Grind.

Behavioral AI Lab is my independent advisory and consulting practice focused on why AI systems fail after deployment — and how behavioral science addresses this gap. I help organizations design and deploy AI systems that align with how people actually decide and act, improving adoption, product growth, and trust & safety. Most AI failures are not technical — they’re behavioral. My work focuses on three areas: • AI product adoption — diagnosing why users don’t trust or use AI products, and redesigning decision flows to reduce behavioral friction • Trust & safety by design — building behavioral safeguards into AI products, drawing on my experience founding Match Group’s Safety by Design program • Scam and manipulation detection — applying behavioral science to detect cognitive bias exploitation and AI-mediated manipulation, where traditional ML approaches often struggle, but behavioral insights significantly improve detection I work with organizations deploying AI in regulated industries, building consumer AI products, or tackling trust & safety challenges at scale. Background: PhD in behavioral economics; publications in American Economic Review and Harvard Business Review; leadership roles at Amazon, Uber, Match Group, and the World Bank.