47
Accepted
Adopt regulatory framework acknowledging inherent limitations in AI model explainability.
Conclusion
The Black Box Challenge is one of the most paradigm-shifting consequences of AI, as it upends our well-established reliance on explainability and understanding. Given the complexity of currently available and in all likelihood future models, the starting point should be an acknowledgement how little we can understand about how many AI models produce their outputs, an acceptance that new ways of thinking will be required, and a regulatory approach that accounts for the impossibility of total explainability.
Government Response Summary
The government highlighted the existing Algorithmic Transparency Recording Standard (ATRS) as a tool to provide process-level transparency for algorithmic tools in the public sector, without committing to new thinking or a new regulatory approach regarding the 'Black Box Challenge'.
Paragraph Reference
170
Government Response
Accepted
Government Response
Accepted
HM Government
Accepted
may be challenging in the context of Black Box systems, the Algorithmic Transparency Recording Standard (ATRS) helps teams to provide process- level transparency around algorithmic tools they are developing or using. This includes information about the design, development and deployment practices behind an algorithmic tool, and the mechanisms used to demonstrate that the solution is responsible and trustworthy. The ATRS aims to make sure that information about algorithmic solutions used by GOV.UK. Government response to Committee recommendations 48 and 49
Source
Report
Third Report - Governance of artificial intelligence (AI)
28 May 2024
HC 38
Addressee Bodies
Department for Science, Innovation and Technology
Timeline
Recommendation age
2.0 yrs
Report published
28 May 2024