Question

A large insurance company is establishing its responsible AI governance framework. The newly formed AI council wants to ensure that responsible AI principles are not just documented but consistently enforced across every AI project—from initial idea through deployment and ongoing operation. Leadership is concerned that individual teams currently apply responsible AI checks inconsistently, and some projects skip reviews entirely under deadline pressure. Which approach best addresses this governance concern?

Accepted Answer

Embed responsible AI review gates as mandatory checkpoints throughout the entire AI project lifecycle, with the AI council defining standards and enforcing accountability

Answer

Require each team to self-certify compliance with responsible AI principles only at the final deployment stage

Answer

Assign responsible AI oversight solely to the legal department to handle after any incidents are reported

Answer

Publish a responsible AI policy document and rely on voluntary team adherence without formal review points