The World Privacy Forum is pleased to provide a summary of Executive Director Pam Dixon’s work in Nairobi, Kenya at the ID4Africa AGM. Dixon served as the Senior Special Rapporteur for two workshops at the 2023 ID4Africa Annual General Meeting in Nairobi, Kenya 23-25 May. In June, ID4Africa hosted a live cast of key participants from
Earlier this month, WPF attended a joint conference focused on the shifting dynamics of how the Common Rule that governs human subject research in the US will be interpreted amidst new technological shifts such as AI. The department of Health and Human Services is seeking to define what the next steps and new policy frameworks should be to ensure the Common Rule protects individuals in current and future research environments. Details on the presentations, conversations, and key takeaways in the post.
This week has been an important one for U.S. policy regarding rights-preserving artificial intelligence and how to manage, define, and improve AI in practical implementations. There are two significant news items. First, the National Institute of Technology and Standards (NIST) has released its milestone AI Risk Management Framework (1.0) for voluntary use. The AI Risk
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.
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