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Closer than Apart: Comparing Senate Commerce Committee Bills
[…] representation” of their data upon “verified request” and the names of third parties to whom it has been transferred (and, in Wicker, the names of service providers), free of charge (although Wicker limits free requests to 2/year). Deletion, Correction & Portability – Both bills would require companies, upon “verified request” to correct or delete […]

Legislative Resources
[…] New technologies and 21st century children: Recent trends and outcomes, OECD (2018) Guide to the GDPR: Children (PDF p22-23), Bird & Bird (May 2019) Age Appropriate Design Code, UK ICO (January 2020) Children’s data and privacy online: An evidence review, London School of Economics and Political Science (2019) Topic #3 – Preemption As consensus is […]

COPPA Workshop Takeaways
[…] of keeping kids off the internet. Jo Pedder, Head of Regulatory Strategy at the United Kingdom Information Commissioner’s Office discussed the UK’s implementation of the age-appropriate design code. The code’s goal is to empower kids on the internet while keeping them safe, rather than keeping them out of the digital world. Instead of a […]

CCPA 2.0? A New California Ballot Initiative is Introduced
[…] and signed by the governor if the amendments are “consistent with and further the purpose and intent” of the Act. Next Steps According to the California Elections Code (ELECT CA ELEC § 9002), the California Attorney General will hold a 30-day review process and public comment period, followed by five additional days for proponents […]

The Right to Be Forgotten: Future of Privacy Forum Statement on Decisions by European Court of Justice
[…] Privacy Forum CEO Jules Polonetsky regarding two European Court of Justice decisions announced today in its cases with Google: Key decisions about the balance of privacy and free expression still remain to be settled by the European Court of Justice (ECJ). Although the ECJ’s two decisions generally support the rights of those searching the […]

New White Paper Explores Privacy and Security Risk to Machine Learning Systems
[…] mechanisms transparent, access controls, monitoring, documentation, testing, and debugging. “Privacy or security harms in machine learning do not necessarily require direct access to underlying data or source code,” said Andrew Burt, Immuta Chief Privacy Officer and Legal Engineer. “We explore how creators of any machine learning system can limit the risk of unintended leakage […]

Warning Signs: Identifying Privacy and Security Risks to Machine Learning Systems
[…] explaining approaches to data protection. Unlike traditional software, in machine learning systems privacy or security harms do not necessarily require direct access to underlying data or source code. The whitepaper presents a layered approach to data protection in machine learning, including recommending techniques such as noise injection, inserting intermediaries between training data and the […]

10 Reasons Why the GDPR Is the Opposite of a ‘Notice and Consent’ Type of Law
[…] of the impact of a project on the environment, it measures the impact of a project using personal data on all the rights of the individuals concerned, from free speech, to privacy, to non-discrimination. Depending on the results of the DPIA, safeguards must be brought to minimize the impact on rights, or the project can simply […]

Privacy Podcasts
[…] are some privacy-related podcasts we follow. We know there are other great podcasts out there and welcome additional suggestions! If you have any other favorites, please feel free to contact us at [email protected] or reach out on Twitter, LinkedIn, or Facebook. Click on the images below to listen to our favorite episodes from our […]