Responsible AI needs accountable ownership

Responsible adoption requires institutions to decide who owns AI-related decisions, which uses are acceptable and when people must review an outcome. A policy alone does not establish that accountability.

Governance should connect permitted use, data responsibilities, risk review and escalation to the teams doing the work. Practical workforce learning helps translate policy into day-to-day decisions.

Review and approve policies within the institution, drawing on appropriate legal and specialist advice. Templates can support the process but are not a guarantee of regulatory compliance. Track adoption and revisit safeguards as use cases change.

General institutional guidance, not legal advice or a claim of regulatory compliance.