AI for the Public Sector

Government and public-sector teams — digital leads, programme owners, risk and assurance.

Adopt AI responsibly in the public interest — from the questions to ask at procurement to the accountability the public expects.

Governments are setting their own rules for public-sector AI use, and a single unfair or unexplained automated decision can become a public and political problem. Transparency and accountability are expected from the start, not added later.

A starting agenda — every session is shaped around your team, your tools and the risks you’re managing.

1. Where AI helps public services — and where the risks are highest Where AI can improve public services, and where the risks to citizens are highest.
2. Fairness and transparency when AI affects citizens Keeping AI use fair and transparent when it affects people’s access to services.
3. Procurement: the questions to ask before buying AI The questions to ask, and evidence to demand, before procuring an AI system.
4. Accountability and public scrutiny of AI decisions How accountability works when an AI-assisted decision is challenged in public.
5. Data, privacy and public-record obligations Data, privacy and public-record obligations specific to the public sector.
6. An AI adoption and procurement checklist An AI adoption and procurement checklist your team keeps.

Every team’s needs are different. We’re happy to talk it through and tailor the session to yours — let’s talk →