Thoughtful piece in ACM where the notion of 'anti-pattern' is discussed, where regulation (or norms or practice) run contrary in purpose to their original intent in design. An specifically how the GDPR, the European privacy law, can run contrary to modern cloud scale systems. An element of the goals of practice vs regulation or other forms of compliance. Considerable look at the idea, largely non technical. Anyone dealing with GDPR and other regulation should understand the idea and implications.
GDPR Anti-Patterns By Supreeth Shastri, Melissa Wasserman, Vijay Chidambaram
Communications of the ACM, February 2021, Vol. 64 No. 2, Pages 59-65 10.1145/3378061
The General Data Protection Regulation (GDPR)26 is a European privacy law introduced to offer new rights and protections to people concerning their personal data. While at-scale monetization of personal data has existed since the dot-com era, a systemic disregard for privacy and protection of personal data is a recent phenomenon. For example, in 2017, we learned about Equifax's negligence17 in following the security protocols, which exposed the financial records of 145 million people; Yahoo!'s delayed confession21 that three years ago, a theft had exposed all three billion of its user records; Facebook's admission33 that their APIs allowed illegal harvesting of user data, which in turn influenced the U.S. and U.K. democratic processes.
Thus, GDPR was enacted to prevent a widespread and systemic abuse of personal data. At its core, GDPR declares the privacy and protection of personal data as a fundamental right. Accordingly, it grants new rights to people, and assigns companies that collect their personal data, new responsibilities. Any company dealing with the personal data of European people is legally bound to comply with all the regulations of GDPR, or risk facing hefty financial penalties. For example, in January 2019, Google was fined6 €50M for lacking a customer's consent in personalizing advertisements across their different services. ... "
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