WPF has responded to the UN’s call for recommendations regarding how it should implement two of its major projects relating to the Global Digital Compact; that is, its pending Global Dialogue on the Governance of AI, and its Scientific Panel on AI. WPF responded with detailed suggestions, and urged the UN to: – Ensure a
WPF deputy director Kate Kaye will facilitate a roundtable discussion among academic scholars, industry representatives and others addressing concerns and considerations related to synthetic content and use of synthetic content governance tools. Kate will help guide the discussion during the Organizational Applications for Identifying and Tagging Synthetic Content roundtable. In addition, she will discuss her
WPF Executive Director Pam Dixon will be giving a rare, live one hour Q and A session with the Washington Office of Privacy and Data Protection (OPDP), which was created by the state legislature in 2016. This will take place in celebration of International Privacy Week, 30 January 2025. The topic of the conversation will
WPF Deputy Director Kate Kaye will present her ongoing research regarding AI Governance in Los Angeles on November 12, 2024 in a keynote talk “Deep fakes, AI, and the Era of Content Authenticity” at the CIMM West event in Los Angeles, a gathering of around 200 media and advertising industry data measurement and analytics professionals.
The minute decisions, measurements and methods embedded inside the tools used to govern AI systems directly affect whether policy implementations actually align with policy goals. The government of Chile’s experience using its AI bidding template, and questions inside the agency regarding how to weigh traditional tech procurement criteria such as vendor cost along with newer responsible AI criteria like discriminatory impacts, give a glimpse of the AI governance challenges happening on the ground today. The tensions the Chilean government is dealing with may be a sign of what other organizations around the world could encounter as they put their own responsible AI policies into practice and navigate the policy implications of AI-facilitated decision making.