Shortcomings in AI Incident Reporting Create Safety Gap in Regulations

Novel problems may arise if there is a lack of incident reporting framework in place. These problems could become systemic if not properly addressed. For instance, AI systems can potentially harm the public by incorrectly revoking access to social security payments. The Center for Law & Technology Research (CLTR) conducted a study focused on the situation in the UK, but noted that their findings could also be relevant to other countries.

According to CLTR, the UK government’s Department for Science, Innovation & Technology (DSIT) does not have a centralized and updated overview of incidents involving AI systems. This lack of oversight means that novel harms posed by advanced AI models may not be accurately captured. The organization highlighted the need for regulators to collect incident reports that specifically address the unique challenges presented by cutting-edge AI technology.

In order to prevent potential risks associated with AI systems, it is crucial for regulatory bodies to stay informed and vigilant. By implementing an effective incident reporting framework, authorities can better respond to emerging issues and ensure that the public is protected from any unforeseen harms caused by AI technology.