The era of AI has begun with startling speed. AI and machine learning are increasingly driving business decisions and activities, and pressures continue to mount—from customers, regulators, and other stakeholders—for greater transparency into how these data-driven technologies and algorithms are being used, monitored, and managed. In particular, they want to understand how companies are addressing the risks associated with AI systems—risks such as algorithmic biases in healthcare scoring and access to healthcare services; job application vetting and recruiting and hiring practices; loan credit decisions; privacy violations; cybersecurity; disinformation and deepfakes; worker monitoring; and more recently, the risks posed by generative AI.

https://boardleadership.kpmg.us/relevant-topics/articles/2023/acceleration-of-ai-ups-ante-on-governance.html