The Dangers of Lack of Incident Reporting Frameworks for AI Systems: A Case Study from the UK

The lack of incident reporting frameworks can lead to novel problems that can become systemic if not addressed appropriately. One such example is the potential harm that AI systems can inflict on the public by incorrectly revoking access to social security payments. The findings from CLTR, which focused on the UK, could be applicable to many other countries as well.

CLTR found that the UK government’s Department for Science, Innovation & Technology (DSIT) does not have a centralized and up-to-date system for monitoring incidents involving AI systems. While some regulators may collect incident reports, they may not be equipped to capture the unique harms presented by cutting-edge AI technologies. This highlights the importance of recognizing the potential risks associated with high-powered generative AI models and the need for a more comprehensive incident reporting framework in these situations.

In conclusion, it is crucial to have a robust incident reporting framework in place to prevent harm caused by AI systems. Without proper monitoring and reporting mechanisms, incidents involving cutting-edge technology can quickly become systemic and pose significant risks to society.