Search results

[…] bias, especially when it comes to AI decision-making systems; Greater clarity about how regulators apply data protection laws to information subjected to PETs safeguards could increase the use and effectiveness of Privacy Enhancing Tech; Analysis of existing PETs implementations can yield important insights into the opportunities and challenges of particular tech and approaches. Virtual […]

[…] interpret these online protections. Age Assurance Technologies: Legislators have proposed the need for using technology to either infer or verify a user’s age before allowing them to use certain services, including in some states social media or adult content.  You can read more about the knowledge standards of currently enacted laws in our blog […]

[…] Forum (FPF) published a paper on confidential computing, a privacy-enhancing technology (PET) that marks a significant shift in the trustworthiness and verifiability of data processing for the use cases it supports, including training and use of AI models.  Confidential computing leverages two key technologies: trusted execution environments and attestation services. The technology allows organizations […]

[…] to recognized frameworks such as the NIST Artificial Intelligence Risk Management Framework (NIST AI RMF).  Conduct Impact Assessments annually, which must include the system’s purpose and intended use cases, any known or reasonably foreseeable risks of algorithmic discrimination, risk mitigation steps taken, categories of data processed for system use, the system’s performance metrics, transparency […]

[…] (AI) and other key technologies.  FPF’s RCN will bring together a multi-stakeholder community of academic researchers, industry practitioners, policymakers, and others to identify key barriers to responsible use of PETs and opportunities for PETs to enable ethical data use and sharing. Some PETs offer new anonymization tools, while others enable collaborative analysis on privately-held […]

[…] ongoing efforts such as the FTC’s Commercial Surveillance and Data Security Rulemaking, updates to the Child Online Privacy Protection Act (COPPA), and inter-agency efforts to prevent the use of discriminatory automated systems in the housing market and workplace.  For the last forty years, the Chevron doctrine (Chevron v. NRDC) has provided an analytical framework […]

[…] Reddit and Wikipedia, regurgitating skewed knowledge.  Global Convergence and Hyperlocal Regulation FPF’s Tatiana Rice moderated “AI Legislation: States to the Rescue?” with Del. Michelle Maldonado, D-VA, 2024 Virginia House of Delegates Communications, Technology, and Innovation Committee, and Senator Robert Rodriguez, Majority Leader, Colorado General Assembly, where both discussed the importance of recent privacy laws […]

[…] reasonably necessary to provide or maintain a requested product or service. In contrast, the RIDTPPA does not include a data minimization requirement or similar restriction on secondary use of personal data. Previously, Iowa and Utah were the only such state laws to not impose a data minimization requirement.  Absence of Opt-out Signal Preferences: Rhode […]

[…] to Executive Order 14076 on “Securing Access to Reproductive and Other Healthcare Services,” the Department of Health and Human Services (HHS) recently issued a rule prohibiting the use of reproductive information for investigative or prosecutorial purposes where “reproductive care may be assumed to be lawful in the context it was given” and emphasizing confidentiality […]

[…] 223. While the principle-based Convention 108 was designed to be technology-neutral, its modernization was deemed necessary for two key reasons: 1) to address challenges resulting from the use of new information and communication technologies, and 2) to strengthen the Convention’s effective implementation.  Through the process of modernization, Convention 108 is now better recognized as […]