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A peer-reviewed audit published in BMJ Open tested five widely used consumer AI chatbots across fifty health questions spanning cancer,...

What does ‘ideal AI governance’ look like for Small and Medium AI companies? What can we learn from the governance...

Part 3 of 3: Sector-Specific Implementation & Strategic Positioning Transforming regulatory requirements into operational excellence and competitive advantage. Part 1...

Part 2 of 3: Implementation Roadmap and Strategic Positioning Transforming regulatory requirements into operational excellence and competitive advantage. Part 1...

Part 1 of 3 Translating complex EU regulations into actionable compliance strategies for American technology firms expanding into European markets...

Expert commentary on the European Commission’s proposed amendments and their practical implications for data protection compliance The European Commission’s Digital...

In 2025, European healthcare stands at a pivotal moment. Rapid digital transformation, evolving cybersecurity threats, and an ambitious regulatory overhaul...

Introduction With the EU AI Act (Regulation (EU) 2024/1689) (hereafter: AI Act) https://artificialintelligenceact.eu/ moving from theory to reality, businesses across...

A Privacy Professional’s Guide to Generative AI: Between a Rock and a Hard Place The rise of Generative AI presents...
Europe’s Health Data Shift: Regulation, Anonymisation, and Security
T. Chib, R. van Kempen and A.I. Hakkers
From Regulation to Reality: Avoiding pitfalls in the EU AI Act
T. Chib, A.I. Hakkers and R. van Kempen
The EU AI Act promises to bring clarity and accountability to artificial intelligence, but its current framework leaves critical gaps that organisations must navigate with caution. How can companies ensure they meet these expectations without falling into the very gaps the regulation leaves open?
Open Weight AI Compliance Why Free Models Carry Hidden Regulatory Costs
Tanya Chib
Organizations downloading open-source AI models for high-risk applications may face the worst of both worlds: full regulatory liability with none of the provider support that proprietary systems offer.
