What you’ll learn & what you’ll make
- Board duties for AI oversight (challenge, risk, controls, assurance)
- The AI landscape (models, vendors, deployment options)
- Policy, privacy, IP, ethics, workforce impact
- AI oversight charter addendum (Audit/Tech/Board)
- AI risk register entries aligned to your sector
- Board calendar insert with reporting cadence
- Responsible AI policy starter
- Vendor diligence questionnaire & agent governance checklist
Register your interest
AI topics — concise & board‑relevant
- What an LLM is; tokens & context windows; strengths & limits
- Training vs fine‑tuning vs RAG vs inference
- Safety & governance: hallucinations, data leakage, prompt injection; IP & privacy
- Who’s who: OpenAI/ChatGPT, Anthropic/Claude, Google/Gemini, Microsoft/Copilot, Meta/Llama, AWS/Bedrock, Cohere/Command, Mistral/Mixtral
- Deployment: APIs, SaaS copilots, private/self‑hosted models
- Vendor assessment: assurance, privacy posture, pricing & lock‑in
Regression, trees, clustering; CNNs/Transformers for images; OCR & document AI.
Diffusion, GANs, VAEs for image/video/audio; strengths, risks, evidence to ask for.
Where it shows up (recommendations, control) and oversight implications.
Personalisation, propensity, demand; bias, explainability, monitoring.
RAG vs fine‑tuning, vector stores, MLOps, third‑party risk, avoiding lock‑in.
LLM‑driven systems that plan steps, call tools/APIs, and act on data for research, reporting and workflow automation.
Autonomy creep, prompt injection, data exfiltration, looping/cost runaways, weak audit trails, third‑party tool risk.
Human‑in‑the‑loop approvals, scoped permissions, budgets/timeouts, sandboxing, immutable logs, evaluation/red‑team results.
Clear, non‑hyped explanations of AGI and Superintelligence — what’s consensus, what’s speculative.
Reflect frontier risk/opportunity in risk appetite, disclosures, and scenario planning.
Short, optional exercises: text→image, text→video, text→speech. Fun, memorable, practical.
Copyright, consent, bias, safety, disclosure — what policies must cover.
Privacy & CPD
Privacy by design
Your uploaded context is private to you and used only to personalise outputs. Detailed data policy will be published before launch.
CPD alignment
Designed for UK NEDs. We’re pursuing CPD recognition with leading bodies; early access registrants get updates first.
FAQ
Is this operational training?
No. It’s board‑level oversight. Learn what to ask for, what evidence to expect, and which artefacts to table.
Is my data private?
Yes. Your uploads sit in a private store to personalise your outputs. Controls and policies will be documented before launch.
When does it launch?
Soon. Join the list for early‑bird places and pricing.
Who is this for?
Current and aspiring NEDs, Chairs, and Company Secretaries who want education plus a practical tool suite.