#responsible-ai
Sessions tagged #responsible-ai. See the whole programme.
Proposed — scheduled when enough people want them
AI Literacy: What Everyone Actually Needs to Know
AI literacy is becoming relevant far beyond technical roles. This session explores the essential knowledge people need to understand AI, question its outputs, recognize its limitations, and use it more responsibly.
Before You Approve That AI Tool: What Should You Ask?
Adopting an AI tool should involve more than evaluating features and price. This session explores the questions organizations should ask about purpose, data, risk, accountability, reliability, and human oversight before adoption.
Building AI Governance People Can Actually Follow
Governance only works when people understand what it means for their everyday decisions. This session explores how organizations can create AI governance that is clear, practical, and usable.
From AI Policy to Practice
AI policies can establish principles, but the real challenge is turning them into decisions people can apply in everyday work. This session explores how organizations can move from written AI policy to practical guidance and shared expectations.
What Should We Actually Delegate to AI?
AI can perform more tasks than ever, but capability does not automatically mean delegation is appropriate. This session explores what we should delegate to AI and what should remain human-led.
Where Should Academic Institutions Draw the Line with AI?
As AI becomes part of academic work, institutions need clearer boundaries around where and how it should be used. This session explores responsible AI use, institutional expectations, human judgment, and academic integrity.
What Does AI Readiness Actually Look Like in a University?
AI readiness goes beyond giving people access to AI tools. This session explores what institutions need in place to use AI responsibly and effectively.