Showing results for v2024 20one 20x bobet free spons 20on v2024 20one spons 20on
The African Union’s Data Policy Framework: Context, Key Takeaways, and Implications for Data Protection on the Continent
[…] Transformation Strategy (DTS), which the AU adopted in 2020 to spur digital development across the continent, as well as other prior initiatives such as the Africa Continental Free Trade Agreement (AfCTFA) and the Policy and Regulatory Initiative for Digital Africa (PRIDA). African leaders created the Framework to respond to identified needs, opportunities, and risks […]
FPF SCC Not-So-Standard Clauses Report FINAL single pages (1)
[…] government access requests, if possible _____ 17 PART V: ENFORCEMENT ____________________________________________________ 18 PART VI: WHAT MODIFICATIONS ARE PERMITTED? __________________________ 19 EU SCCs AND RIPD MTA: Parties are free to add additional, non-conflicting safeguards ______ 19 ASEAN MCCs: Changes allowed in accordance with regional data protection frameworks ____ 19 CONCLUSION _____________________________________________________________ 20 ANNEXES: MODEL CONTRACTUAL […]
Race Equity, Surveillance in the Post-Roe Era, and Data Protection Frameworks in the Global South are Major Topics During This Year’s Privacy Papers for Policymakers Event
[…] other countries, amongst other salient topics. Professor Anupam Chander and Neil Chilson Professor Eunice Park (Western State College of Law) discussed her paper, Reproductive Health Care Data Free or For Sale: Post-Roe Surveillance and the “Three Corners” of Privacy Legislation Needed with Amanda Newman (Office of Congresswoman Sara Jacobs). Professor Park’s paper recommends placing […]
Race Equity, Surveillance in the Post-Roe Era, and Data Protection Frameworks in the Global South are Major Topics During This Year’s Privacy Papers for Policymakers Event
[…] other countries, amongst other salient topics. Professor Anupam Chander and Neil Chilson Professor Eunice Park (Western State College of Law) discussed her paper, Reproductive Health Care Data Free or For Sale: Post-Roe Surveillance and the “Three Corners” of Privacy Legislation Needed with Amanda Newman (Office of Congresswoman Sara Jacobs). Professor Park’s paper recommends placing […]
FPF-PPPM-2023-Digest-DIGITAL-v3
[…] of Contents Awarded Papers Dismantling the “Black Opticon”: Privacy, Race Equity, and Online Data-Protection Reform ………….. 4 Privacy and/or Trade ……………………………………………………………… …………………………………………………………………… 6 Reproductive Health Care Data Free or For Sale: Post-Roe Surveillance and the “Three Corners” of Privacy Legislation Needed ……………………………………………………………… ……………………… 8 Understanding the Challenges Data Protection Regulators Face: A Global Struggle […]
FPF LGBTQ+ Student Voices R4
[…] the vendor. In practice, this can result in overblocking akin to censorship whether it be deliberate or inadvertent. Although this type of filtering presents a First Amendment free speech issue that will not be fully explored here, it is important to demonstrate the types of battles over LGBTQ+ youth rights that have already played […]
Knowledge is Power: The Future of Privacy Forum launches FPF Training Program
“An investment in knowledge always pays the best interest”–Ben Franklin Let’s make 2023 the year we invest in ourselves, our teams, and the knowledge needed to best navigate this dynamic world of privacy and data protection. I am fortunate to know many of you who will read this blog post, but for those who I […]
Workplace Discrimination and Equal Opportunity
[…] selection (the human rights principle of participation),32 and further ensure data collection is based on the principle of self-identification, which requires that surveys should always allow for free responses (including no responses) as well as indicating multiple identities (see section 4 on the human rights principle of self-identification). 3. ESG reporting Under the upcoming […]
FPF DEI_monitoring_LONG version
[…] algorithms are always trained on historical data, it is virtually impossible to find a “clean” dataset on which an algorithm can be trained to be “bias – free.” To solve this, group indicators such as race, gender, and religion are often removed from the training data. The idea is that if the algorithm cannot […]
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