From recording to institutional practice.
Moving from principles to enforceable practice: explainable, contestable, accountable public-sector AI.
This cohort is framed for public institutions that need to move from technology discussion to implementation discipline. The session connects policy language with the practical work of ownership, procurement, data stewardship, security, and accountability.
The emphasis is not only on what technology can do, but on the conditions under which public systems should adopt it. That means treating risk, documentation, review, and public trust as part of the operating model from the beginning.
Use this entry to publish the recording, notes, links, and takeaways for "Responsible AI in Practice".