AI Governance (In Person + Online): Insurance, Insurers, and Indemnification
Three fireside chats on who pays when AI gets it wrong, and how insurers and contracts are writing the AI rules that legislatures haven't.
Streaming Live on Substack, LinkedIn, and YouTube starting at 3:00pm Pacific
Description
Last month we talked about courts and lawyers. This month we follow the money.
Every AI failure eventually comes down to one question. Who pays? Right now that answer is being written in places most governance teams never read. Policy exclusions. Renewal questionnaires. The indemnity clause on page 14 of a vendor agreement.
Carriers are adding AI exclusions to policies that used to cover the risk by default. Some are launching affirmative AI coverage with their own underwriting requirements attached. State insurance regulators are setting expectations for how insurers use AI themselves. And enterprise buyers want their AI vendors to indemnify them, while most vendors are working hard to cap exactly that.
Underwriters may end up enforcing AI governance faster than any regulator. If your carrier asks how you test, monitor, and document a model before it will renew your policy, that question becomes your compliance standard whether or not a statute exists.
Three fireside chats with people watching this from the inside. Bring questions. We are leaving real time for them.
What we'll get into
What your current E&O, cyber, and D&O policies actually cover when an AI system causes harm, and where new exclusions are showing up
What underwriters are starting to ask about AI before they quote or renew
Indemnification in AI vendor contracts: what buyers demand, what vendors will sign, and who is left holding the risk in between
How state insurance regulators are approaching insurers' own use of AI in pricing, underwriting, and claims
Whether affirmative AI insurance is real protection or a new marketing category
Which governance evidence (test records, monitoring, incident logs) is starting to move premiums and claim outcomes
When the AI your company deployed makes the mistake, who writes the check, and who comes after them for it
Format
Three fireside chats, 25 minutes each, with audience Q&A after every one. No slide decks. Doors and networking before and after.
Who should come
Founders shipping AI into regulated buyers. Engineering and product leaders who own a system that makes decisions about people. In-house counsel, compliance, and risk managers. CFOs and anyone who owns the insurance renewal. Brokers trying to explain AI exposure to clients. Anyone who has been asked to sign an indemnity clause about AI and wasn't sure what they were agreeing to cover.
Speakers
Teddy Nemeroff is Co-Founder and Chief Data and Compliance Officer of Verific AI, where he leads legal research and works to develop products that apply rules the way human regulators and compliance experts would. He is also a Nonresident Scholar at the Carnegie Endowment for International Peace and teaches at Princeton and the Harvard Kennedy School. Teddy previously served on the National Security Council Staff and the Secretary of State's Policy Planning Staff, and he practiced law at Steptoe and Johnson.
[Speaker 2 bio]
[Speaker 3 bio]
Hosts
Bob Rapp - GM Technical Fellow, Cofounder AIGovOps Foundation, xMSFT, xIBM, xGE
Ken Johnston - Cofounder AIGovOps Foundation, xMSFT, xFord, xAutonomic CEO
Schedule
2:00pm Doors and networking
3:00pm Streaming starts. Opening fireside with [Speaker 1]
3:30pm [Speaker 2] ([online in person])
4:00pm [Speaker 3] ([online in person])
4:30pm Streaming ends. Networking until 5:00pm
Hosted by the AIGovOps Foundation, a 501(c)(3) nonprofit. AI governance as an operational practice. Shipping trust without sacrificing velocity.