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Right, fair and lawful
Bitesize

Right, fair and lawful

EU AI Act, AI ethics and algorithmic bias.

Level
Bitesize
Learning time
1 hour 15 minutes
Where
AI for Leaders
Price
£39

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

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About this course

Overview and Outcomes.

Overview

AI does not sit outside the law. This leader's guide, which is not legal advice, maps data protection, equality, public law, human rights and sector rules, explains the reform of automated decisions under the Data (Use and Access) Act 2025 and why a rubber stamp is not a safeguard, and sets out the EU AI Act's timetable and four risk tiers. It closes with the regulators who will ask questions and why lawful is the floor, not the ceiling. Fairness is a choice, not a setting. This module traces five places bias enters AI and shows how bias scales inside a system, using Amazon's experimental recruiting tool, the COMPAS and ProPublica debate and the ICO's audit of AI recruitment tools. Drawing on Kleinberg, Mullainathan and Raghavan and on Chouldechova, it explains three meanings of fairness that cannot all be met, the OECD AI principles, and an ethics check before go-live.

What you'll develop

In this Bitesize, you will develop the ability to:

  1. Identify the main areas of existing law that apply when AI is used in a public service.
  2. Explain the safeguards for automated decisions under the Data (Use and Access) Act 2025 and assess whether human involvement is meaningful.
  3. Use the EU AI Act's four risk tiers and Equality Act tests to judge where a system needs the strongest governance.
  4. Identify the five routes by which bias enters an AI system and explain why bias scales once it is encoded.
  5. Distinguish calibration, equal false alarms and equal misses, and explain why choosing between them is a values decision for leaders.
What it covers

The Modules.

1 hour 15 minutes of learning.

  1. 08The Law: Data, Equality and the EU AI ActAI does not sit outside the law. This leader's guide, which is not legal advice, maps data protection, equality, public law, human rights and sector rules, explains the reform of automated decisions under the Data (Use and Access) Act 2025 and why a rubber stamp is not a safeguard, and sets out the EU AI Act's timetable and four risk tiers. It closes with the regulators who will ask questions and why lawful is the floor, not the ceiling.39 min
  2. 09Ethics, Fairness and BiasFairness is a choice, not a setting. This module traces five places bias enters AI and shows how bias scales inside a system, using Amazon's experimental recruiting tool, the COMPAS and ProPublica debate and the ICO's audit of AI recruitment tools. Drawing on Kleinberg, Mullainathan and Raghavan and on Chouldechova, it explains three meanings of fairness that cannot all be met, the OECD AI principles, and an ethics check before go-live.38 min
Where it fits

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Part of the AI for Leaders topic, also sold whole as The human edge.

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