We questioned DSIT on how it is evaluating and sharing learning from AI pilot activity across government to avoid reinventing the wheel and to support AI adoption at scale. It told us that it was taking a range of approaches including developing guidance and identifying good practice case studies, establishing communities of AI practitioners, and adopting an ‘open build’ approach to developing AI tools, publishing their results to make them available to others in the public and private sector...

We questioned DSIT on how it is evaluating and sharing learning from AI pilot activity across government to avoid reinventing the wheel and to support AI adoption at scale. It told us that it was taking a range of approaches including developing guidance and identifying good practice case studies, establishing communities of AI practitioners, and adopting an ‘open build’ approach to developing AI tools, publishing their results to make them available to others in the public and private sectors.47 41 C&AG’s Report, para 12 42 C&AG’s Report, para 12 and Figure 7 43 Qq 17, 24 44 Q 3 45 Q 3 46 C&AG’s Report, para 3.5 47 Q 21 15 A witness from the Type: conclusion | Number: 20 | Response status: not_addressed Government response: 4. PAC conclusion: DSIT has no systematic mechanism for bringing together learning from pilots and there are few examples of successful at–scale adoption across government. 4a. PAC recommendation: To learn from AI pilots and support the scaling of the most promis