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Compliance

Processing Data for Behavioural Advertising: Meta’s Use of GDPR’s Legal Bases and the New Pay or Okay Model

Would you be willing to pay for the preservation of your privacy? This is the inquiry Meta presents to its Facebook and Instagram users, offering not to track their behaviour for advertising at the cost of €9.99/month on the web or €12.99/month on iOS or Android. This so-called “Pay or Okay” is being implemented by Meta in response to numerous

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Governance Program
Compliance

KSA Takes on Personal Data Protection

As Saudi Arabia introduces its Personal Data Protection Law (PDPL), organizations based in the region should be aware of its data protection requirements, and those operating internationally must be able to comply with the diverse legal regimes.  Drawing from the principles of the GDPR, the PDPL shares many similarities. Yet, it brings its unique characteristics, affecting procedures, legal bases, and

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GDPR

Privacy Policy – why does it matter?

Nowadays there is often a lack of understanding of why and how privacy policy is important for any organization that processes personal data.  This blog post sheds light on the notion of the privacy policy, its importance, structure, and enforcement. Hopefully, after reading this blog you will be able to understand the reasons why privacy policy should be considered as

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comply with GDPR

Privacy basics: the long arm of the GDPR

We continue the series ‘Privacy basics’ with bite-sized articles on the core concepts of privacy and data protection. The purpose of this blog series is to make privacy as simple as possible by explaining some of the most important core concepts. With each new blog article, we introduce privacy elements with pragmatic examples that will help you better understand how

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AI and Machine Learning in the DPIA
AI

Artificial Intelligence in the (D)PIA

Background AI is a hot topic, not least among the Data Protection Authorities, who have recently been very active developing guidance papers aimed at helping organisations grasp and assess the complexities involved. Examples of such publications include the very recent and open for consultation ICO’s AI auditing framework, or 2018 report from Norwegian DPA on Artificial Intelligence and privacy. These documents look at implications for data

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