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MythBusters: COPPA Edition
[…] COPPA is a federal law, passed by Congress in 1998. The law has existed for over 20 years, and the FTC does not have the authority to get rid of COPPA. Asking the FTC to do something beyond its authority will not change the law, YouTube’s policies, or the rules that creators must follow. […]

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 […]

FTC should investigate app developers banned by Facebook – Statement by Future of Privacy Forum CEO
[…] Facebook, and some could still be holding on to consumer data or continuing to sell it. If apps that misuse Facebook members’ data escape legal penalty, developers will get the message that there is no legal risk to improper data-sharing. Every company, and especially app developers, needs to understand that there are consequences for abusing […]

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
[…] The GDPR is anything but a ‘notice and consent’ type of law. There are many reasons why this is the case, and I could go on and get lost into the minutiae of it. Instead, I’m listing 10 high level reasons, explained in plain language, to the best of my knowledge: 1. Data Protection […]

10th Annual Privacy Papers for Policymakers – Send Us Your Work!
[…] open the submissions process for next year’s awards in fall 2020. Have you conducted privacy-related research that policymakers should know about? If so, we can help you get it in front of key government officials. The Future of Privacy Forum will return to Capitol Hill early next year (date TBD) for the 10th installment […]

Digital Deep Fakes
[…] from the video file by those with the capacity to review it, and thus these types of fakes can be publicly identified. When Machines Learn, the Fakes Get Smarter Two more recent versions of machine learning-based video editing are causing more concern. One is what is accurately a “deepfakes,” and the other, even newer […]

COPYRIGHTS AND PRIVACY: What is the Irrevocable License and is it Really a Privacy Concern?
[…] Rather than risk copyright liability for displaying or altering content without a poster’s permission and expose themselves to statutory damages for copyright infringement, most websites prefer to get a license from their user that will be effective for as long as the business is active (perpetually), that will not require them to pay millions […]