What does AI governance aim to manage?

AI governance primarily focuses on addressing the risks associated with AI development and deployment. This encompasses a wide range of considerations including ethical implications, compliance with regulations, and the potential societal impacts of AI technologies. Governance frameworks are established to ensure that AI systems are developed responsibly, mitigate biases, enhance transparency, and promote accountability.

While shareholder profits, data acquisition, and operational efficiency are important considerations in their respective contexts, they do not capture the essence of what AI governance is meant to address. Governance is concerned with the holistic oversight of AI practices, ensuring they align with ethical standards and public expectations, rather than focusing on profit-making or efficiency alone.