Digital with people in charge
AI governance, assurance and agile delivery.
A day on digital with people in charge: data foundations for AI, suppliers and contracts, the law, fairness, oversight, algorithmic failures, assurance and transparency, agile delivery, AI literacy and leading adoption.
- Level
- Immerse
- Learning time
- 12 hours
- Where
- Complexity, decisions and innovation
- 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
Public service leaders, board members and digital, data and transformation leads responsible for AI and new ways of working
Overview
AI is already in use across public services, and leaders remain accountable for every decision it touches. Part of the flagship Leading with data and digital, this day begins with the ground rules: good data, buying from suppliers, the law including the EU AI Act, and fairness, drawing on Kleinberg, Mullainathan and Raghavan and on Chouldechova. It then turns to oversight that works, lessons from Robodebt and the Dutch childcare benefits scandal, and board assurance through the Three Lines Model and transparency. Agile follows, from the Manifesto and Scrum to Lean, Kanban, design thinking and the Spotify story. It concludes with AI literacy and adoption, with Edmondson and Bridges.
Aims
The course is there to help leaders keep people in charge of digital change: setting clear ownership and meaningful oversight for every AI system, asking suppliers the awkward questions before signature, obtaining real assurance rather than reassurance, and helping teams work in short cycles of learning while protecting how staff build judgement.
In summary, you will be able to:
- Apply five tests of data quality and supplier due diligence questions before an AI system is bought or built.
- Distinguish hollow from meaningful human oversight, and plan proportionate assurance for AI using the Three Lines Model and the NIST cycle.
- Lead a team through AI adoption with an acceptable use policy, short cycles of experimentation and skills development that protects learning.
What you'll develop
By the end of this Immerse, you will be able to:
- Explain why AI outputs inherit the quality of their data and why named ownership of data sets matters.
- Identify the main areas of existing law that apply when AI is used in a public service.
- Describe what went wrong in Robodebt, the Toeslagenaffaire and Horizon, and who bore the harm.
- Explain why transparency underpins public trust in AI, using the ATRS, the transparency ladder and the lessons of the Dutch childcare benefits scandal.
- Explain how the three pillars of transparency, inspection and adaptation, supported by the five values, make Scrum's empiricism work.
- Distinguish a pilot from an experiment, and use Ries's terms, minimum viable product, validated learning, pivot and persevere, precisely.
- Explain why an annual budget for uncertain work fixes scope too early, and compare project funding with funding stable teams and products.
- Explain what shadow AI is and why bans tend to drive use underground rather than stop it.
Built from 9 parts.
12 hours of learning.
- 01Good data, wise buyingData readiness and AI procurementBitesize · AI for Leaders2 modules
- 02Right, fair and lawfulEU AI Act, AI ethics and algorithmic biasBitesize · AI for Leaders2 modules
- 03Keeping humans in chargeAI governance and oversight in public servicesBitesize · AI for Leaders2 modules
- 04Assured and openAI assurance, transparency and public scrutinyBitesize · AI and Governance2 modules
- 05Being agile, not doing agileAgile principles, mindset and ScrumBitesize · Agile and New Ways of Working3 modules
- 06Flow and the freedom to testLean, Kanban and test-and-learnBitesize · Agile and New Ways of Working2 modules
- 07Starting with peopleDesign thinking principles and processBitesize · Creativity and Innovation1 module
- 08Agile at scale, honestlyScaling agile, governance and fundingBitesize · Agile and New Ways of Working2 modules
- 09Bringing people with youAI literacy, skills and leading adoptionBitesize · AI for Leaders2 modules