AI and privacy collide wherever personal data trains or runs a model. These articles cover the GDPR duties, when a DPIA is needed, and how techniques like anonymisation and synthetic data hold up under scrutiny.
Copy our free AI DPIA template for AI systems. The eight sections and exact questions to answer, when a DPIA is legally required under GDPR Article 35, and how it maps to the ICO's guidance and the EU AI Act.
How should families govern AI systems to protect children whilst enabling beneficial applications?
If a child can reach your AI product, four regimes apply at once. A calm, board-level map of GDPR Article 8, the UK Children's Code, COPPA's 2025 rule and Online Safety Act age assurance, plus the seven things your legal and data teams should check now.
Why is AI agent memory creating unprecedented privacy risks? Google's CEO just revealed the compliance nightmare ahead.
Are your developers inadvertently exposing sensitive data through AI development tool interactions?
Is your AI BDR's personalisation strategy crossing privacy boundaries?
Are your AI systems respecting data rights or creating surveillance infrastructure that threatens both compliance and stakeholder trust?
Apple's on-device AI approach offers financial services marketers unprecedented privacy capabilities whilst introducing new governance challenges. Here's how to leverage this technology responsibly.
A face on screen is no longer proof of a person, and for regulated firms that turns biometric verification into a governance and EU AI Act question, not just a fraud-ops one.
How do you conduct privacy assessments when AI systems can infer sensitive information and create new personal data through algorithmic processing?
What enhanced privacy protections do vulnerable populations need in AI systems, and how do you implement meaningful consent for those in crisis?
How can dating platforms implement comprehensive synthetic profile detection? A strategic implementation framework protecting users whilst enhancing platform trust and business performance.
"Synthetic" isn't a magic word that exempts data from GDPR. It's anonymous only when a real person can't realistically be re-identified. The test regulators apply, and how to use it safely.
Why is MCP's dynamic tool discovery creating HIPAA compliance nightmares that traditional healthcare security can't address?
To train or run AI on data that crosses borders, a bank or fintech needs a lawful GDPR Chapter V route: adequacy, SCCs, or a narrow derogation. How to map the transfers an AI deployment hides, pass the transfer risk assessment, and handle the UK's 2026 divergence on top.
GDPR Article 22 creates some of the most stringent requirements for financial AI systems, granting individuals powerful rights regarding automated decision-making that significantly affects them.
Retail recommendation AI inadvertently revealed sensitive customer information through product suggestions. Privacy testing prevented GDPR violations.
Brain-computer interfaces can decode thoughts into words with 50% accuracy. Current privacy laws assume your thoughts are private. That assumption just became obsolete.
Tech enthusiasts are building sophisticated AI systems at home that keep data completely private. Meanwhile, enterprises are still sending sensitive information to third-party AI services.
With evolving regulations and increasing customer expectations, secure data handling has never been more vital for AI-driven businesses.
Yes. Wherever an AI system processes personal data, GDPR applies in full: lawful basis, data minimisation, purpose limitation, and the rights of the people in the data. Training on personal data is processing.
A data protection impact assessment is required for processing likely to be high-risk to people, which covers most AI that profiles, scores or makes decisions about individuals. It is best done before deployment, not after.
Not automatically. Synthetic data sits outside GDPR only when a real person cannot realistically be re-identified from it. If re-identification is possible, the data is still personal data.