Identity is a data-rich resource that acts as a key to connect all levels of emerging digital ecosystems. All forms of ID carry some risk, but digital forms of ID, or “dematerialized ID,” cuts across all sectors and links copious data about individuals, their behaviors, financial status, associates, and potentially even political and religious views. Over time, distinct patterns emerge from the linked data and create new kinds of risks for individuals and groups. As the world becomes increasingly and intensely digitalized, we can expect challenges in the identity space to grow apace unless proactive attention is given to identifying and mitigating the current and future risks.

WPF recently reviewed and provided recommendations regarding a proposed AI Framework meant to apply to medical research involving human subjects. The issue of human subject research is a critically important one. In the US, The Common Rule (45 CFR subpart A) is a key regulation that protects people from unethical medical research. As research utilizing tools such as AI and SaMD — software as a medical device — grows in use, there is an urgent need to determine the proper ethical, legal, and regulatory framework for the use of these tools in the human subject research context. For this reason, WPF was pleased to review and provide recommendations to the Secretary’s Advisory Committee on Human Research Protections, SACHRP, on its proposed AI Framework.

The World Privacy Forum provided comments to the FTC regarding its proposed substantive amendments to the Telemarketing Sales Rule (part 310), 87 FR 33677. Generally, WPF supports nearly all of the proposed changes in the Notice of Proposed Rulemaking. However, we are concerned about three specific areas: The expansion of consumer records kept by telemarketers

July 2022 Download a PDF The World Privacy Forum publishes and maintains A Patient’s Guide to HIPAA, which is a plain language explanation of how to use the law to guard your health privacy. This companion FAQ on HIPAA is focused on reproductive health privacy in response to the many questions we are receiving from

WPF has been invited to speak before the Brazilian Senate on the topic of the challenge of regulatory models for AI and machine learning systems. WPF Executive Director Pam Dixon will be testifying as an expert in this informational session; she was a delegate in creating the OECD AI Guidelines, and she currently co-leads the