About Dr. Rebecca Portnoff
Dr. Rebecca Portnoff has dedicated her career to defending children from sexual abuse. She
holds a B.S.E. from Princeton and a Ph.D. from UC Berkeley, both in Computer Science, and
has been working in the intersection of machine learning (ML)/AI and child safety for over a
decade. She acts as an ecosystem leader to address emerging threats against children via
technology development, novel research, standard setting, policymaking and cross-sector
collaborations, bridging the gap between child safety experts, policymakers and technologists.
She is currently Head of Data Science & AI at Thorn, where the ML/AI and algorithmic solutions
her team builds have global impact: used across hundreds of law enforcement agencies,
hotlines and technology companies. Her policy work was among the first to establish
sociotechnical solutions to prevent generative AI-facilitated child sexual exploitation and abuse.
These solutions have been adopted by major platforms like Google and Anthropic, as well as
integrated into groundbreaking global scientific standards and regulatory tools.
Rebecca is an MIT Tech Review 35 under 35 innovator, and Fast Company AI 20. She serves
on multiple advisory boards, including the Internet Watch Foundation Board, the UNICRI AI for
Safer Children Advisory Board and the National Advisory Committee on the Trafficking of
Children and Youth in the United States. She has presented her work at venues ranging from
AWS:reInvent to the White House, and her work has been recognized and featured by outlets
such as The NYTimes, the WSJ, the AP, Forbes and more.

Awards

CogX Outstanding Diversity Leader in AI – Finalist (2023)
Expert Adviser
- Internet Watch Foundation (IWF) Board Member
- ROOST Technical Advisory Committee
- National Advisory Committee on the Trafficking of Children and Youth in the United States
- UNICRI AI for Safer Children Advisory Board
- NaverZ (Zepeto) Trust & Safety Advisory Council
- Roundtables: The White House, Australia eSafety Commissioner, Internet Watch Foundation, European Commission
- Workshops, Forums & Listening Sessions: HSI/eSafety, Virtual Global Taskforce, Partnership on AI, NIST, NSPCC, MLCommons, Google, Tech Coalition, MIT Lincoln Lab, US AISI
Need an Expert Advisor?
Let’s drive impact together.
Selected Standards
Global standards, recommended practices, and protocols co-authored by Rebecca and informed by Rebecca’s work
NIST AI 100-4: Reducing Risks Posed by Synthetic Content: An Overview of Technical Approaches to Digital Content Transparency
Thorn / UK AISI Safety Protocol: UK AISI / Thorn Recommended
Practice for AI-G CSEA Prevention
IEEE Recommended Practice: Safety by Design in Generative Models to Prioritize Child Safety (publication pending)



