AI Incident Reporting: Urgent Call for a Robust System by Leading Think Tank

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In-Short

  • The Centre for Long-Term Resilience advocates for an AI incident reporting system in the UK.
  • Over 10,000 AI safety incidents have been reported since 2014, highlighting the need for regulation.
  • Recommendations include a government reporting system, engaging experts, and building DSIT capacity.

Summary of AI Incident Reporting Needs

The Centre for Long-Term Resilience (CLTR) has emphasized the urgency of establishing a comprehensive AI incident reporting ⁢system ⁢to fill a significant void ‍in the ‌UK’s AI regulatory ‍framework. With AI’s⁤ growing integration into society and a⁤ track record of over 10,000 reported safety incidents, ‍the think tank stresses‍ the importance of a reporting regime akin to those in aviation and medicine.

Such⁣ a ⁣system would enable monitoring ⁤of AI risks, coordination of responses to major incidents, and ⁢early detection of potential future harms. The current UK AI regulation does not provide the Department for Science, Innovation & Technology (DSIT) with sufficient ​visibility on critical incidents, which could include⁤ misuse of AI or harms caused by AI in public services.

To⁢ combat this, the CLTR recommends ⁣the UK Government take immediate action by ‌establishing a public sector AI incident reporting system, consulting with regulators and experts to ⁤identify and address gaps, and ⁣enhancing‌ DSIT’s capabilities to manage AI incidents.

Veera ​Siivonen, CCO and Partner at Saidot, supports ⁢the report’s timing ⁣and its call for a balance between regulation and innovation. Siivonen advocates for ⁢clear ‌governance requirements and a variety of AI governance‍ strategies to maximize AI’s economic and⁤ societal benefits while maintaining public ‍trust.

Call to⁤ Action

For more‍ detailed insights, visit the original article ​on⁢ the ⁤ Centre ​for Long-Term Resilience’s call for an AI incident reporting system.

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