Ahlam Ansari has spent 17 years asking an uncomfortable question: Why do organizations trust AI systems they cannot explain?
That question drives her PhD research in trustworthy and responsible AI, her membership in MIT's Abdul Latif Jameel World Education Lab (J-WEL), and a practice built at the intersection of Explainable AI, data governance, and privacy-preserving design that holds up under real regulatory scrutiny.
A Google Certified Educator with 20+ published papers and 200+ citations, she has spent 17 years moving between academia and applied technology — mentoring award-winning innovation teams, leading digital transformation efforts, and building methodologies for auditing AI outputs and tracing how automated decisions get made.
Her sessions don't offer hype. They offer frameworks educators and leaders can use the week they return to school — grounded in research, tested in practice, built around one belief: AI is only as trustworthy as the people who understand it.