Tessa Darbyshire

Responsible AI is full of high‑stakes decisions and uncomfortable trade‑offs, and this session brings them into the open. Participants will engage with a series of provocative statements on today's most contentious AI issues, ranging from frontier scaling to synthetic data, alignment risks, liability boundaries, open‑source governance, model interpretability, and beyond. After hearing each statement, attendees will split into groups, each tackling one hot‑button topic. Within each cohort, participants will debate both the affirmative and the opposing positions, then present their strongest arguments back to the room.

• Surfacing competing priorities that shape responsible AI decisions.
• Challenging assumptions through structured, balanced debate.
• Bridging technical, ethical, and strategic perspectives for better AI governance.