AI is changing quickly in the insurance industry. As insurers use it to get more value from functions such as underwriting, claims processing automation, and customer experience, industry and state deadlines for AI systems to comply with regulations are also looming.
However, high expectations for AI might not be realized without balancing value and risks via well-thought-out AI governance.
Key AI governance activities
According to Gartner®, a good AI governance program should be able to:
- Create, maintain, and enforce AI governance policies and controls
- Create and develop an AI governance operating model
- Design, develop, integrate, test, and deploy governance oversight systems
CIOs can use Gartner’s Executive AI Governance Playbook to start or evolve AI governance. Monitaur can help you define, manage, and automate the operations of your AI governance program immediately.
This report was available as a courtesy reprint from Monitaur for a limited time. Gartner subscribers can still get this playbook from their website.
Questions? Contact Monitaur.