Regulatory Compliance (GDPR, AI Act)

The regulatory environment for AI is evolving rapidly, with the EU leading the way. GDPR, in force since 2018, already applies to AI systems that process personal data, covering consent, data minimisation, purpose limitation, and individuals' rights. The EU AI Act, which began taking effect in stages from 2025, goes further by classifying AI systems by risk level and imposing specific requirements on high-risk applications - including documentation, human oversight, accuracy standards, and conformity assessments. Beyond Europe, jurisdictions from California to China are developing their own AI governance rules, creating a patchwork of requirements that multinational organisations must navigate. The UK has taken a more sector-specific, principles-based approach, relying on existing regulators to apply AI guidance within their domains rather than creating a single comprehensive law. For organisations deploying AI, compliance isn't just about avoiding fines - though those can be substantial. It's about building systems that are auditable, explainable, and defensible. The practical challenge is that many of these regulations are new, enforcement patterns are still emerging, and the technical requirements (such as explainability or bias testing) don't always have agreed-upon implementation standards. Staying informed and building flexibility into your compliance approach is essential.