Responsible AI
For AI-assisted work with a clear purpose, human accountability, proportionate data use and safeguards appropriate to its impact.

Recognition with accountability
For digital work that achieves a meaningful result while remaining transparent, inclusive and responsible to the people affected by it.
For AI-assisted work with a clear purpose, human accountability, proportionate data use and safeguards appropriate to its impact.
For strategy that connects outcomes to credible measurement and communicates both progress and limitations honestly.
For digital products and communications that remove avoidable barriers and support a wider range of people and contexts.
Public work is considered for usefulness, quality of execution, transparency, accessibility and the care shown in how data, automation and persuasion are applied. Recognition reflects the evidence available at review and is accompanied by a concise rationale.
Completed selections will appear here with their category, year and evidence-based citation.