AI incident reporting shortcomings leave regulatory safety hole

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AI incident reporting shortcomings leave regulatory safety hole

The article discusses the shortcomings in incident reporting related to AI technologies, highlighting the lack of monitoring and regulation similar to other safety-critical industries like aviation and medicine. The Centre for Long-Term Resilience (CLTR) warns about the growing problem of AI systems malfunctioning or producing erroneous outputs in real-world applications due to inadequate incident reporting.

Notable examples of AI safety incidents mentioned in the article include trading algorithms causing market 'flash crashes,' facial recognition systems leading to wrongful arrests, autonomous vehicle accidents, and AI models providing harmful information through social media. The importance of incident reporting is emphasized as a way for AI researchers and developers to learn from past failures and mitigate risks.

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