The role of internal AI boards in enterprise AI governance

A high-functioning and effective enterprise AI governance framework requires a clear understanding of the roles and responsibilities in question, effective communication between stakeholders, and regular reviews of and updates to automated decision-making systems. It is well established that AI model bias is a socio-technical problem, but it seems hard for organizations to grasp that ethical AI use cases vary based on the business use case. One size doesn’t fit all – and your AI bias will be nuanced and very specific to your industry, your use case, and your data.

Simply put, an internal AI board of governance is a group of people within an organization who are responsible for making decisions about the use of AI technologies within the enterprise. The board typically includes representatives from different departments within the organization, such as IT, marketing, sales, and operations. Its purpose is to...