AI is already making decisions about your life.

Dr. Lawrence breaks down how bias gets baked into AI systems — from training data to deployment — and why it disproportionately harms the communities least represented in the room where decisions get made.

Drawing from Hidden in White Sight, Dr. Lawrence reveals how algorithms quietly reinforce centuries-old patterns of exclusion across credit, housing, hiring, and policing — and what leaders must do about it.

From admissions algorithms to adaptive learning, Dr. Lawrence examines how AI is reshaping who gets access, who gets ahead, and who gets left behind in classrooms across the country.

An unflinching talk on the lived experience of being misidentified, miscategorized, and mispoliced by machines — and why trust in AI cannot be assumed, only earned.

Dr. Lawrence explores the legal, ethical, and cultural fallout of synthetic media — from stolen likenesses to stolen voices — and what creators, platforms, and policymakers must confront now.

A roadmap for building AI teams, datasets, and governance structures that actually reflect the world the technology is being deployed into — not just the world that built it.

Where does the duty to shareholders end and the duty to society begin? Dr. Lawrence challenges executives to define the line before regulators, courts, and the public define it for them.

As IBM's first CTO of Responsible AI, Dr. Lawrence shares the playbook: how to stand up an ethics board with real authority, real diversity, and real teeth — not theater.

A clear-eyed view of the global regulatory landscape — EU AI Act, US executive orders, state-level legislation — and what compliance, liability, and leadership look like in the next 24 months.

From facial recognition to predictive policing to risk assessment algorithms, Dr. Lawrence examines where the technology has crossed from useful into unjust — and what accountability requires.

Why the same diagnostic model can save one patient and harm another, how outcomes diverge by race and zip code, and what hospital systems must do to deploy AI without deepening inequity.

Elections, disinformation, and the erosion of shared truth. Dr. Lawrence explains how synthetic media is reshaping democracy — and what voters, journalists, and platforms can still do about it.