AI GovernanceAI Governance Trainingfor Board DirectorsBoard Directors
Your organisation is already using AI. You're already liable.
Get the practical training to govern it confidently—from how AI works to training it for accuracy and risk.
Why Directors Can'tTreat AI asSomeone Else's Problem
Your organisation's AI systems now sit squarely inside your fiduciary duty.
AI usage has an impact on anti-discrimination law, data protection, labour law, human rights, ESG, cyber, and securities disclosure. When those systems misfire—through hallucination, bias, or data leakage—regulators and courts don't ask whether your vendor was reputable. They ask whether the board understood the risks, asked the right questions, and put governance in place. Under regimes like the EU AI Act, penalties can reach up to €35M or 7% of global turnover.
To deliver a future-proof approach, we draw on global best practices—regulations, laws, governance principles, case law and litigation from jurisdictions including the EU AI Act, US, UK, Australia, Hong Kong, Singapore, Japan, Canada, and beyond.
This programme is built to close that gap in weeks, not years—with pragmatic tools, not technical theory.
You will not learn how to build models.
You will learn how to govern them — and ask the right questions.
Board-Level Imperative
Why AI Governance Is Now aBoard-Level Risk,Not an 'IT Problem'
Regulators, investors and auditors are no longer treating AI as a side project.
Whether delegated to audit or not, AI risk sits with the full board. This is now part of every director's professional skillset—and most weren't trained for it.
A single governance failure – from biased hiring models to mis-sold financial products – can trigger regulatory fines, shareholder action and personal liability for directors. Under regimes like the EU AI Act, penalties can reach up to €35M or 7% of global turnover.
This programme is built for directors who need to close that gap quickly: in 8 weeks, you gain practical AI literacy and governance frameworks you can actually use in board meetings, audit committees and with external counsel.
What You'll Achieve
Learn how to train AI for accuracy—and spot hallucinations before they become liabilities.
Know the risks. Weigh trade-offs. Prevent lawsuits. Ask the right questions. Make informed decisions.
Build AI literacy—from basics to jargon—so you can question, decide, and govern without over-relying on experts.
The Director Pain Points This Course Solves
Each question represents a real governance gap. Scroll to explore each one.
'Am I personally liable if our AI systems fail?'
Yes. Director duty of care laws exist in virtually every major jurisdiction. Whether it's UK Companies Act s174, Delaware Caremark, Australia's Corporations Act, or equivalent laws in the EU, Hong Kong, and beyond—directors must exercise reasonable oversight of AI.
The three risks directors must understand:
- Hallucination → AI generates false information → Breach of duty of care
- Bias amplification → AI discriminates at scale → Legal liability + reputational damage
- Confidentiality breaches → Sensitive data leaks → Regulatory violations
This module teaches you:
- Reasonable oversight: What "due diligence" looks like for AI—so you can demonstrate you exercised care
- Liability mitigation: How to document decisions, ask the right questions, and build defensible processes
- Fiduciary duty fulfilment: Connect AI risk to governance duties you already hold—not as a separate "tech project"
Outcome: You know where liability begins, what to document, and how to ask the right questions—regardless of your technical background.
'I don't speak the language. How can I challenge AI proposals?'
Directors repeatedly say: 'I feel I can't push back intelligently on AI without slowing the business down.'
From Module 0 and Module 1 you will:
- Learn how AI actually works in plain language: pattern-matching systems that autocomplete based on training data, not magical intelligence.
- See why temperature, tokens, and context windows are board-relevant controls that affect hallucination risk, cost, and reliability.
- Use simple frameworks to ask management: What data did you use? How do you test for bias? What are the failure modes?
Outcome: You move from 'I don't understand this' to a 5-minute questioning protocol that lets you stress-test AI proposals with confidence.
'How do I verify AI outputs without being a tech expert?'
"Most failures start with someone treating AI output as if it were audited fact."
Module 1 gives you practical prompting and verification techniques, designed specifically for board work:
(Don't worry if these terms are unfamiliar—by the end of this module, you'll understand the jargon and know exactly how to use it.)
- A 5-step fact-checking protocol for AI outputs used in board decisions—so 'never trust, always verify' becomes a repeatable habit.
- Chain-of-thought prompting patterns that force AI to show its reasoning, so you can inspect the logic behind a recommendation.
- Verbosity controls to instantly re-scale: 3-paragraph executive summary, 4-page board paper, or detailed appendix for committee review.
Outcome: You stop accepting AI at face value. You gain a repeatable, documented process for turning AI into a checked assistant, rather than an unchallenged oracle.
'Could AI be creating risks across our business without us knowing?'
Most directors don't realise AI can discriminate. It can—and it does so at scale, invisibly, based on patterns in your data.
Module 1 (Bias & Fairness) gives you:
- A plain-English definition of AI bias and how it appears in real systems (hiring, lending, pricing, surveillance).
- Case-based learning from high-profile failures showing exactly how discrimination emerges even when nobody intends it.
- Concrete tools: Proxy Discrimination Matrix, four-fifths-rule checklist, and board-level question frameworks.
Outcome: You gain a defensible bias-oversight playbook: how often to test, what to test, what to document, and when to shut down a system.
'If AI fails tomorrow, does your board know what to do?'
When AI fails, you may have regulatory reporting obligations within 72 hours. Do you know what triggers a report? Do you know who to notify? Most boards don't—until it's too late.
Module 2 (Incident Response) gives you a clear framework:
- How to classify AI failures: What counts as a reportable incident vs an internal fix—so you know when the clock starts ticking.
- A first-24-hours action plan: Who to notify, what to document, when to shut systems down, and how to preserve evidence for regulators.
- A board-ready incident report template: Summary, impact, root cause, corrective actions—ready for regulatory and investor scrutiny.
Outcome: You'll have a clear framework to test risks, plan for incidents, and respond with confidence—something your board can discuss, review, and refine in regular meetings.
'Do you know what you're actually agreeing to with AI vendors?'
Most AI vendor contracts are written to protect the vendor, not you. Without the right questions, you won't spot the risks until it's too late.
Module 3 shows you what to consider in reviewing AI vendor contracts:
- A three-pillar vendor due-diligence framework (technical, financial, compliance) written for directors, not engineers.
- Concrete questions on model architecture, training data, performance metrics, bias testing, security certifications, and total cost of ownership.
- A contract risk checklist for clauses that silently move liability—weak caps, poor audit rights, vague data ownership.
Outcome: You stop accepting vendor claims at face value. You can tell the difference between robust assurances and pure marketing.
'Does your ESG reporting cover AI—or is there a gap?'
AI impacts all three pillars of ESG. Environmental: energy consumption and carbon footprint of AI systems. Social: bias, fairness, job displacement, and privacy. Governance: ethics, accountability, transparency, and compliance.
Module 5 shows you how to address each pillar:
- Environmental: Understand AI's energy footprint—data centres, model training, and compute costs—and how to include this in carbon reporting.
- Social: Address bias, fairness, workforce impact, and privacy—linking AI risks to existing diversity and inclusion commitments.
- Governance: Build accountability structures—who owns AI risk, what ethics frameworks apply, and how transparency requirements affect your disclosures.
Outcome: You can integrate AI risk into existing ESG reports, risk registers, and board calendars, rather than bolting on a separate 'AI initiative' that lives in a silo.
Still have questions about how this applies to your board?
Book a 15-Minute Discovery CallYour journey to AI literacy
From Overwhelmed to In Control
"I don't know what I don't know"
AI is everywhere but I don't know how to apply it effectively for board responsibilities.
"I understand the risks—and my responsibilities"
You learn what questions to ask and where liability actually sits.
"I can challenge management and vendors with confidence"
You know what to look for and when to push back—without becoming a technologist.
"I don't know what I don't know"
AI is everywhere but I don't know how to apply it effectively for board responsibilities.
"I understand the risks—and my responsibilities"
You learn what questions to ask and where liability actually sits.
"I can challenge management and vendors with confidence"
You know what to look for and when to push back—without becoming a technologist.
What You Will Be Able to Do in 8 Weeks
This is an 8-week, 4–6 hour total programme designed for active directors. Each module is intentionally short but dense, so you get maximum impact for minimum time.
Click any module to view details
AI Fundamentals & Mindset
You will:
- Understand AI as statistical pattern-matching software rather than intelligent reasoning
- Recognize the fundamental types of AI systems and their distinct risk profiles
- Explain why hallucination occurs and implement verification protocols using our ACCURATE framework
- Apply the critical friend framework to balance innovation with risk mitigation
Outcome:
Directors complete this module with foundational knowledge of how AI works, why it fails in predictable ways, and how to fulfill their duties of reasonable care in AI governance.
Who This Course is For
This programme is specifically designed for board directors, C-suite executives, senior risk and compliance officers, and auditors who need to understand and govern AI without becoming AI experts themselves.
Executive Directors
Gain the confidence to ask the right questions, challenge AI proposals, and ensure your organisation is deploying AI responsibly and compliantly.
Audit & Risk Committee Members
Understand AI's unique risk profile, integrate AI oversight into existing frameworks, and ensure robust governance is in place.
Compliance & Legal Officers
Get up-to-speed on AI regulations, build defensible compliance strategies, and ensure your organisation avoids costly AI-related legal pitfalls.
Auditors
Learn to assess AI systems effectively, understand what to look for in AI audits, and ensure AI governance meets professional standards.
How This Programme Is Different
Teaching directors AI literacy is like teaching them to read financial statements themselves, rather than always relying on the CFO to interpret them—empowering independent oversight and fiduciary judgment.
Most AI training
for boards is:
- High-level and theoretical
- Focused on 'what AI can do', not how to govern it
- Written for technologists, then 'simplified' for directors
Tick-box compliance. Forgettable.
This course is:
- Built from the ground up for board directors—case-based, regulation-aware, and focused on your actual decisions and signatures.
- Structured with progressive complexity: plain language first, then technical depth, then board application.
- Packed with checklists, templates, and question frameworks you can plug directly into: board packs, committee charters, vendor RFPs, incident playbooks, and ESG reports.
Premium board-level training.
You won't leave with abstract diagrams.
You will leave with reusable tools that change how you read a board paper, how you challenge an AI proposal, and how you record AI decisions.
Investment: The Cost of Oversight
vs. The Cost of Failure
A focused, board-level programme priced as a risk-management tool, not a 'nice-to-have' course.
Cost of Doing Nothing:
€35M+
EU AI Act fines + Personal liability + Lawsuits
Your Smart Investment:
£5,995
£3,995
per year
"Insurance policy against regulatory risk"
Full toolkit & template access
Updates as regulations evolve
Documented due diligence
A single AI governance failure – whether a regulatory fine under the EU AI Act, a public discrimination claim, or a material mis-statement driven by automated analysis – can cost millions and expose directors to personal liability.
This course is designed as an insurance policy against that risk: your annual investment gives you complete access to practical tools, templates and ongoing updates as regulations evolve.
Two Options
Individual Director
Annual access to all modules and future updates, including frameworks, checklists and prompt libraries.
Enterprise Board
Volume-discounted licensing for 5+ directors, dedicated board portal and the option to integrate your own AI risk register into exercises.
Guarantee
Backed by a 7-Day No-Questions-Asked Money-Back Guarantee (see details below).
Detailed pricing, payment plans and enterprise options are provided at checkout and on our pricing page.
7-Day Guarantee
How Your Rights Work
You Enroll
When you enroll, you get immediate access to the full digital course. To make that possible – and comply with UK Consumer Contracts Regulations 2013 – we ask for your explicit consent at checkout to start delivery straight away.
By accessing the course, you give up the statutory 14-day cooling-off right for digital content. But we offer something better – our 7-day guarantee below.
Days 1-7
Full refund,
no questions asked.
If you decide within 7 days that the course isn't right for you, simply email us. We'll issue a complete refund immediately. No explanations needed. No hoops to jump through.
We confirm your consent, access, and rights in a durable-medium email immediately after purchase.
Day 8 Onwards
After day 7, refunds are only available where required by law – for example, if digital content is defective or mis-sold, as described in our Terms of Service.
For any future subscription or renewal-based offerings, we will also comply with the emerging UK Digital Markets, Competition and Consumers Act 2024 regime, including any renewal cooling-off rights and proportionate refund obligations.
What You Get When You Enroll
Concrete deliverables your board can use immediately.
When you enroll, you receive:
Full Year Access
Annual access to the full 8-week, self-paced course, including all future regulatory and content updates relevant to AI governance.
Use when: EU AI Act updates land, new guidance emerges, your board wants refreshers
Ready-to-Use Toolkits
Downloadable frameworks, checklists and prompt templates for:
AI incident response and escalation
vendor and auditor due diligence
bias and discrimination risk review
ESG and governance integration
Use Monday: Drop into your next board pack or vendor review
Real Scenarios
Hands-on exercises built around real board scenarios (not hypothetical case studies).
Practice: What would you do if your AI vendor had a data breach tomorrow?
Living Library
Access to a growing resource library of regulatory references, sample board papers, and decision-documentation templates to help evidence your good-faith oversight.
Reference: When regulators ask "what did the board know?", you'll have the receipts
You can complete the course in 4–6 hours total, typically across 30–45 minute sessions per week. You can pause and resume modules at any time, and revisit content as new regulations and guidance are added.
Ready to Lead with Confidence?
Whether you're ready to enrol or want to discuss how the course fits your specific governance challenges, we're here to help.
Built on Responsible AI, Data Protection and Accessibility
The course teaches governance – and operates under the same standards.
Data Protection & Privacy
- Operated by Fallon Holdings Ltd, a UK-based entity.
- Privacy Policy aligned with UK GDPR and the Data Protection Act 2018.
- We collect only the data needed to deliver the course (identity, contact, payment via secure third-party providers, and usage data for platform improvement).
- You can request access, correction, deletion or restriction of your data at any time via support@aiboardcourse.com.
Terms & Refunds
- Terms of Service governed by the laws of England and Wales.
- Clear licence terms: non-transferable, for your personal educational use as a director.
- Explicit 7-Day No-Questions-Asked Money-Back Guarantee, and compliant handling of digital-content cooling-off rights.
- Educational content only – not legal, financial or professional advice; you should consult your own counsel for jurisdiction-specific questions.
Ethical AI & Content Integrity
- No training on customer data: we do not use your course activity, Q&A or personal data to train internal or third-party AI models.
- Commitment to Fairness, Accountability, Transparency and Explainability (FATE) in both course content and operations.
- All regulatory and factual content is checked against primary sources and reviewed by June Lai and Charlotte Fallon Smith before publication.
- We actively teach and practice bias mitigation, especially in high-risk areas like hiring and lending.
Accessibility
- Designed to meet WCAG 2.1 AA standards where practical.
- High-contrast design, minimum 18px body font, keyboard-only navigation, alt-text for images, and captions / transcripts for media.
- If you encounter any accessibility barriers, contact support@aiboardcourse.com and we will work to resolve them.
This course explains complex AI and governance concepts in clear language for directors. It is educational content, not legal advice. Please consult current regulations and your legal team for formal opinions.
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