The GDPR’s ‘Risk-Based Approach’: How It Works and When to Use It
The GDPR recognises a “risk-based approach” in several areas of data protection compliance. Controllers can adjust some data protection and security practices, taking into account factors such as the nature of the data, the resources of the organisation, and the “state of the art”.
Beyond Europe: How the GDPR Is Shaping Data Protection Globally
Jurisdictions worldwide are improving their data protection frameworks—sometimes in the hope of obtaining EU adequacy, sometimes because the public demands them to do so. From definitions and principles to data subject rights, the influence of the GDPR is clear.
Can the GDPR and Widespread AI Co-Exist?
In this session, panellists will explore AI’s many potential GDPR pitfalls and address the “elephant in the room”: Is the AI industry fundamentally incompatible with a robust data protection regime?
What’s Wrong With the GDPR?
The EU’s best-known regulation is not without its critics. Some argue that the law hampers innovation and imposes unnecessary costs. Others claim that the GDPR’s only problem is that regulators don’t go far enough in enforcing the law.
Should You Trust the EU-US Data Privacy Framework?
The EU-US data transfer problem remains unsolved after another year of GDPR enforcement. But is the light at the end of the tunnel with the EU-US Data Privacy Framework? Or will the adequacy decision go the same way as its two predecessors?
Staying Compliant: How to manage data transfers around the globe
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Enforcement Highlights From the GDPR’s Fourth Year
In this session, our panel will explore the most significant enforcement actions since the GDPR’s last birthday and consider their impact on all organisations.
Five years of GDPR - what does the dawn of AI mean for data privacy regulations?
May 25, 2018 saw the introduction of the EU’s General Data Protection Regulation (GDPR), a ground-breaking legal framework that set new standards on how organisations both within and beyond EU borders obtain, process and store personal data.
