"As AI systems increasingly shape decisions, behaviors, and access to opportunity, responsibility is no longer an afterthought but embedded in how these systems are designed, trained, and deployed.
But how are values translated into models in practice? Who defines what these systems optimize for and how do those choices distribute power, risk, and accountability? This session explores what it truly means to build responsible AI, from technical design to governance, and what it takes to ensure fairness, accountability, and long-term trust at scale."
