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Tony Blair Institute warns against 'techlash' over AI adoption

The Tony Blair Institute (TBI) has cautioned governments against slowing AI adoption, arguing it could lead to countries becoming poorer and less secure. A new report from the TBI suggests a focus on independent testing and government integration of AI.

  • The Tony Blair Institute (TBI) report, published on Monday, warns that slowing AI adoption could have significant long-term costs for economic growth and national security.
  • The TBI is advocating for a larger system of independent AI testing and assurance, alongside greater use of the technology within government.
  • TBI research indicates that 38% of UK adults view a lack of trust as the biggest barrier to using AI.

Tony Blair has warned governments against giving in to a growing "techlash" concerning artificial intelligence (AI), stating that a slowdown in adoption could leave nations less prosperous and secure. A report from the Tony Blair Institute (TBI), released on Monday, indicates that political leaders in the US and UK are facing increasing pressure to curb AI development.

The TBI report argues that "doing less" in AI development may incur substantial long-term costs for economic growth and national security. Instead of either giving AI companies a free pass or responding to public anxiety by halting progress, the think tank proposes a more extensive system of independent testing and assurance. It also calls for a comprehensive overhaul of government operations to integrate AI more effectively.

According to TBI research, 38% of UK adults consider a lack of trust to be the primary obstacle to AI use. Furthermore, 61% of organisations reported that concerns about reliability have led them to delay or reduce planned AI investments. The TBI suggests that the government should prioritise AI assurance nationally, clarify liability for system failures, and use procurement and regulation to stimulate demand for independent testing.

The report also advocates for embedding AI within government structures to facilitate information sharing across departments and to model the consequences of policy decisions. It proposes AI systems that could track government commitments, request updates, and initiate pre-approved workflows, while ensuring their powers remain "bounded, auditable and revocable" and that human decision-making is preserved.

Why this matters: The TBI's recommendations suggest a shift in approach to AI governance, focusing on integration and independent oversight rather than solely on restrictive regulation, potentially influencing future policy decisions in the UK and US.

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