AI Governance, Explained

AI Governance Is Not A Technology Problem. It Is Your Next Liability Exposure.

Three state AI employment laws take effect inside one ninety day window. HR is no longer working on IT's timeline. HR is working on the law's timeline.

Start With AI Governance Readiness
The Liability Window

Three Deadlines. One Court Case. Zero Grace Period.

Most HR teams can point to a vendor contract. Few can point to a governance process that would hold up in discovery.

1 Three state AI employment laws land in one quarter
2 Ninety days between the first deadline and the last
3 One active federal case already in discovery: Mobley v. Workday

Three Questions Every HR Leader Is Asking Right Now

This page answers them in order. Read straight through, or jump to the one that is keeping you up tonight.

01

What Is AI Governance?

The plain definition, without the vendor language.

 02

What Is AI Governance For HR?

Where hiring, promotion, and termination algorithms create exposure.

 03

Why Do We Need It Now?

The regulatory window closing on your desk this year.
Question 01

What Is AI Governance?

AI governance is the structure that makes an AI decision accountable to a human, a policy, and a record. It is not a checklist. It is not a vendor's compliance page. It is the operating system that determines who is responsible when an algorithm makes a decision that touches a person's job, pay, or opportunity.

Every governed decision answers three questions before it is made and three more after. Who reviews it. What evidence supports it. Who is accountable if it is wrong. Without those answers, you do not have AI governance. You have an algorithm running unsupervised inside a function that carries legal exposure.

Governance is not slower decision making. It is decision making you can defend.
A chess board mid-game, representing the accountability structure and strategic decisions organizations must put in place as AI reshapes work
Margaret Spence presenting on AI literacy and governance to an audience of HR and organizational leaders
Question 02

What Is AI Governance For HR?

For HR, governance applies to every tool that screens, scores, or ranks a person. Resume filters. Interview scoring software. Promotion and performance prediction models. Termination risk scores. If a system narrows who gets seen, who gets promoted, or who gets flagged, it belongs inside your governance program, whether your team built it or licensed it from a vendor.

This is where the exposure concentrates. Mobley v. Workday is still active in federal court on claims that a screening algorithm produced age based disparate impact against applicants over forty. The lawsuit did not name the vendor's engineering team as the defendant carrying the reputational weight of discovery. It named the employer.

The algorithm does not get subpoenaed. You do.

Question 03

Why Do We Need AI Governance Now?

Three state AI employment laws take effect inside one ninety day window. None of them wait for your organization to be ready.

Oct 2026
Connecticut AI Law
Removes the anti-discrimination defense for undisclosed automated decision tools. WARN Act layoff disclosures must name AI involvement. Written notice requirements for employees and applicants follow in October 2027.
Jan 2027
Colorado AI Act
Delayed and narrowed by SB 189, now a transparency and disclosure standard. Employers must be able to say, in writing, where automated decision tools are used in employment.
Jan 2027
California ADMT Regulations
Documented risk assessments, pre use notices, and vendor accountability requirements for any automated decision making technology used in employment.
The litigation is not waiting for the statutes. Mobley v. Workday cleared a March 2026 ruling rejecting the vendor's argument that federal age discrimination law does not reach applicant screening tools. Discovery is active. The legal exposure exists today, independent of which state law lands next.
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Where To Start

Four Ways to Learn AI Governance

Pick the entry point that matches how much time you have this week. Every path leads to the same governed outcome.

AI Governance Essentials for HR Executives course cover
Course

AI Governance Essentials for HR Executives

A structured course that gets your program from zero to a working inventory and review process.

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When AI Breaks the Law book cover, AI Governance for Talent Leaders, by Margaret Spence
Book

When AI Breaks the Law

The full case for why governance sits with HR, built from two decades inside workplace risk.

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Margaret Spence facilitating a live client advisory engagement
Advisory

AI Governance at Work

The full platform, for organizations that need a built program, not just a framework to study.

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Margaret Spence speaking at a conference
Newsletter

AI Governance for HR

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Margaret Spence — Chief Possibility Architect and founder of The Inclusion Learning Lab
Who Wrote This

Margaret Spence Built Her Career Managing What Happens When People Decisions Go Wrong.

Former insurance risk executive. Two decades inside the rooms where the financial consequences of bad HR decisions get counted, including $495 million in settled workplace claims across Fortune 500 companies.

She now helps HR leaders govern AI before it becomes the next claim on that ledger.

RMPE Certified CWC Certified Four Time Author $495M+ Settled Claims

Fast Answers

The shorter questions that come up once the big three are settled.

Is AI governance the same thing as AI ethics?
No. AI ethics is a set of principles. AI governance is the operating system that enforces them, including ownership, documentation, testing, and escalation paths. A principle without an enforcement structure does not hold up in a deposition.
Who owns AI governance inside an HR organization?
Ownership sits with HR leadership, not IT. IT can secure the infrastructure. Only HR understands the employment law exposure created when an algorithm screens, scores, or ranks a person.
Do we need AI governance if we only use vendor tools and did not build our own AI?
Yes. Regulators and courts have made vendor use a governance failure, not a defense. If a third party tool screens or scores your candidates and employees, your organization is accountable for how it performs.
What is the first step to build an AI governance program?
Start with an inventory. List every tool touching hiring, promotion, performance, or termination decisions, including vendor platforms your team may not think of as AI. You cannot govern what you have not mapped.
Does AI governance apply to small and mid-size employers?
Yes. State AI employment laws are largely written by employee count or by the use of automated decision tools, not by company size. A 200 person employer using an AI resume screen carries the same disclosure exposure as a Fortune 500 company.

The Organizations That Build Governance Now Will Not Be The Ones Defending It Later.

Start with the course built for the HR leader who owns this, not the engineering team that ships it.

Start With AI Governance Readiness Read When AI Breaks the Law

AI governance, leadership development, and workforce transformation for HR leaders, women leaders, and organizations.

Building Human Capability to Thrive, Not Just Survive.

Start With AI Governance Readiness