2. The regulatory landscape
UK GDPR, automated decisions, and sector regulators
Whatever happens with future AI legislation, one body of law already applies squarely to much AI use in the UK: data protection law. If an AI tool processes personal data, UK GDPR applies to that processing exactly as it would to any other system.
Automated decision-making rights
UK GDPR gives individuals rights around decisions made solely by automated means that have legal or similarly significant effects, such as an algorithm rejecting a loan or filtering out a job application with no human involvement. In broad terms, such decisions are only permitted in limited circumstances, and individuals are generally entitled to meaningful human involvement, to express their point of view, and to contest the decision.
The management implication is direct: if you introduce AI into any decision that significantly affects a person, design real human review into the process from the start. A human who mechanically clicks "approve" on every AI recommendation is not meaningful involvement, and regulators have said as much. The reviewer needs the authority, the information, and the genuine option to reach a different conclusion.
The ICO
The Information Commissioner's Office has published substantial guidance on AI and data protection, covering fairness, transparency, accuracy, and how to run Data Protection Impact Assessments for AI. If your AI use involves personal data, the ICO's AI guidance is the single most useful free resource available to a UK firm.
Sector regulators
Under the UK's regulator-led model, sector regulators set expectations for their own patches. The Financial Conduct Authority has set out its thinking on AI in financial services, applying existing frameworks around accountability and consumer outcomes rather than writing an AI rulebook from scratch. Other regulators are doing the same for their sectors. If you operate in a regulated industry, or your clients do, find out what your regulator has published on AI. It's usually shorter and more practical than you'd expect, and clients increasingly ask whether you've read it.
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Why AI needs governing
The regulatory landscape
Building your AI policy and approving tools
Running AI day to day