Technology Regulation: Risk-based approaches to Artificial Intelligence governance, Part II

The previous post on "Technology Regulation: Risk-based approaches to Artificial Intelligence governance, Part I" discussed recent advancements in AI technologies that have led to new commercial applications with potentially adverse social implications. We also considered the challenges of AI governance and discussed the role of technical benchmarks for evaluating AI systems. In this post, we will explore the different AI risk assessment approaches that can underpin AI regulation. This post will conclude with a discussion on the next steps for national AI governance initiatives. Risk assessments can help identify the AI systems that need to be regulated.