The human edge
AI for Leaders: strategy, governance and people.
A full day on owning AI decisions end to end: strategy, data, law, fairness and oversight, then jobs, skills, adoption and public trust.
- Level
- Immerse
- Learning time
- 11 hours
- Where
- AI for Leaders
- Price
- £249
When you step up to a higher level, what you paid in the last 12 months for lower-level courses inside the bigger course comes off its price, in proportion to how much of each is inside it, whichever topic it's from. Courses at the same or a lower level don't give credit against each other. A Focus course or above always costs at least £15. Read the full terms
Certificate of Completion, or Certificate of Completion and Assessment with a short assessment
Overview and Outcomes.
Who It's For
Senior public service leaders responsible for AI strategy, governance and people
Overview
This full-day programme covers the whole of AI for Leaders in depth, built on a single conviction: the human edge in AI is judgement, accountability and trust. It moves from foundations, capability and the productivity evidence to strategy and the UK, Welsh and EU policy landscape; then to data, suppliers, the law, fairness and oversight, tested against Robodebt and Horizon; and finally to jobs, workforce partnership, skills, adoption and public trust. Drawing on writers from Agrawal and Brynjolfsson to Edmondson and Onora O'Neill, it closes with two illustrative Welsh cases and a ninety-day plan.
Aims
This programme aims to develop leaders who can own AI decisions from end to end: setting strategy from the problem, governing data, suppliers and systems lawfully and fairly, and leading staff and communities through change in a way that strengthens rather than spends public trust.
In summary, you will be able to:
- Explain how AI works, what the evidence shows about its value and why its use remains a leadership responsibility under existing law and policy.
- Design governance for AI that covers data quality, contracts, legal duties, fairness testing and meaningful oversight informed by public service failures.
- Lead AI adoption with staff, unions and the public, and plan priority actions using seven lenses and a maturity assessment of your organisation.
What you'll develop
By the end of this Immerse, you will be able to:
- Explain why AI is a leadership question rather than an IT project, and why existing duties of fairness, lawfulness and accountability still apply.
- Explain why an AI strategy should start with the problem and rest on data, people, governance and trust foundations.
- Explain why accountability for an AI system stays with your organisation and choose whether to build, buy, partner or wait.
- Describe what went wrong in Robodebt, the Toeslagenaffaire and Horizon, and who bore the harm.
- Describe what AI literacy means at four levels: everyone, managers, specialists, and leaders and boards.
- Apply seven lenses to an AI proposal: strategy, data, legal, governance, workforce, literacy and public trust.
Built from 8 parts.
11 hours of learning.
- 01Beyond the hypeAI for leaders: capability, limits and valueBitesize3 modules
- 02Start with the problemAI strategy and UK, Wales and EU policyBitesize2 modules
- 03Good data, wise buyingData readiness and AI procurementBitesize2 modules
- 04Right, fair and lawfulEU AI Act, AI ethics and algorithmic biasBitesize2 modules
- 05Keeping humans in chargeAI governance and oversight in public servicesBitesize2 modules
- 06AI and the future of workAI, jobs and workforce social partnershipBitesize2 modules
- 07Bringing people with youAI literacy, skills and leading adoptionBitesize2 modules
- 08Earning public trustAI in public services and public trustBitesize2 modules
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- You are hereImmerse, 11 hours, £249
It is also part of these programmes: