Which term refers to the process of monitoring AI systems for risks and compliance?

The term that refers to the process of monitoring AI systems for risks and compliance is oversight. This concept involves continuous evaluation and scrutiny of AI systems to ensure they adhere to legal and ethical standards, as well as to identify any potential risks that could arise from their operation. Effective oversight helps organizations manage the impact of AI technologies on society, maintain accountability, and ensure that systems operate as intended without causing harm.

In the context of AI governance, oversight encompasses various activities, including auditing AI algorithms, reviewing decision-making processes, and assessing outcomes to ensure bias is minimized and compliance with regulations is maintained. This proactive approach not only safeguards stakeholders but also enhances trust in AI technologies.

Other terms like "parameters," "post processing," and "pre processing" typically relate to the technical aspects of handling data or configuring models rather than the broader governance and compliance framework needed to monitor AI systems effectively. Parameters might refer to settings used in algorithms, while post and pre-processing pertain to data management before and after it is fed into an AI system.