Operationalizing AI Governance in Insurance

February 28, 2024

Federal regulators have largely focused on issuing guidance and initiating inquiries into AI, whereas state regulators have taken a more proactive stance, addressing AI’s unique challenges within sectors such as insurance.

The New York Department of Financial Services released a draft guidance letter proposing standards for identifying, measuring, and mitigation potential bias from use of ‘External Consumer Data and Information Sources’ for underwriting and pricing. This proposal similarly mirrors a regulation already in effect in Colorado that was finalized last year. The National Association of Insurance Commissioners released their model bulletin on AI risk management last year, and we expect further states will announce similar proposed regulations. These proposed rules likely won’t face the same level of uncertainty that stems from the legislative process.

This means that operationalizing AI governance in the insurance sector is a need-to-do.

Watch our LinkedIn Live hosted on Wednesday, February 28 at 12:00 P.M. EST / 9:00 A.M. PST for a deep dive on this topic.

Speakers:

▪ Andrew Gamino-Cheong – Co-Founder & CTO, Trustible

▪ Tamra Tyree Moore – VP & Corporate Counsel, Data, Privacy, & AI, Prudential

▪ Shontael (Elward) Starry – AI Ethicist; Data Scientist, Nationwide

▪ Ellie Jurado-Nieves – VP & Ass.t General Counsel, Strategic Public Policy Initiatives, Guardian Life

Agenda:

▪ Who “owns” AI Governance?

▪ Current state of laws and regulations for AI in insurance

▪ Challenges with complying with Colorado Reg 10-1-1

▪ How bias and fairness may differ between different types of insurance

▪ Best practices for how technical and non technical teams can better collaborate for AI governance

Everything You Need to Know About the Executive Order on a National AI Policy Framework (2025)

On December 11, 2025, President Trump signed an Executive Order directing the federal government to build a “minimally burdensome” national framework for AI and to push back against state AI laws the Administration views as harmful to innovation. The EO takes a new, novel approach via Executive Branch authority, creating an AI Litigation Task Force and asking the U.S. Department of Commerce to evaluate state AI laws and identify “onerous” laws (explicitly citing laws that require models to “alter their truthful outputs”.)

The Path to Agentic Governance: Innovations, Lessons Learned, and Our 2025 Milestones

In 2025, Trustible delivered the continuous, scalable programs needed for faster AI adoption at the same time that AI governance itself was shifting from principles and pilots to real production.
Our strengthened intelligence, collaboration, automation, and change management capabilities helped enterprises deploy AI deeper into workflows, decisions, and customer experiences.