AI governance: What is being governed?

The article highlights the pressing need for effective governance in the field of artificial intelligence (AI) as the technology becomes more mainstream. It begins by noting the challenges in defining both AI and governance and emphasizes the importance of moving beyond definitions to understand the mechanics of AI algorithms. The piece provides insights into machine learning, deep learning, and generative AI, explaining their roles in AI development. The focus then shifts to the necessity of governance throughout the AI system's life cycle, addressing concerns such as the black-box problem, algorithmic bias, and risks at various stages. The article underscores the significance of transparency, risk mitigation, and adherence to legal and ethical standards in AI development and deployment. It advocates for a comprehensive, multidisciplinary approach that integrates technical and legal/policy perspectives to build trustworthy AI systems.

Link to the full article: https://iapp.org/news/a/ai-governance-what-is-being-governed/