Unforeseen Risks: The Dangers of a Lack of Incident Reporting Framework in AI Technology

A lack of incident reporting framework can lead to novel problems that may become systemic if not addressed. For example, AI systems can harm the public by incorrectly denying access to social security payments. The Center for Law & Technology Research (CLTR) conducted a study in the UK and noted that their findings could 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 new harms posed by advanced AI models may not be accurately captured. CLTR emphasized the need for regulators to collect incident reports that specifically address the unique challenges presented by cutting-edge AI technology.

To prevent potential risks associated with AI systems, regulatory bodies must stay informed and vigilant. An effective incident reporting framework is crucial in ensuring that authorities can better respond to emerging issues and protect the public from any unforeseen harms caused by AI technology.