In the absence of a proper incident reporting framework, novel problems could arise if AI systems are not adequately monitored. These issues could become systemic and have serious consequences if left unaddressed. For example, AI systems can incorrectly revoke access to social security payments, which can lead to financial hardship for individuals and families.
The Center for Law & Technology Research (CLTR) recently conducted a study on the issue of incident reporting in the UK, but their findings are also relevant to other countries. The study found that there is a lack of centralized and updated oversight of incidents involving AI systems in the UK government’s Department for Science, Innovation & Technology (DSIT). This means that emerging harms posed by advanced AI models may not be accurately captured.
Regulatory bodies must stay informed and vigilant to prevent potential risks associated with AI systems. 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. It is important for regulatory bodies to collect incident reports specifically tailored to the unique challenges presented by cutting-edge AI technology.
