AI Governance

The first Digital Trust Convention was held in Paris at OECD Headquarters on 15 November, 2024. This event addressed the problems of how to establish trust in people and information in digital spaces, including the challenges created by synthetic content generated or impacted by AI. WPF co-sponsored the event, and Executive Director Pam Dixon was in Paris to participate in person. Her remarks focused on: solutions must do no harm, cautions around inappropriate uses of digital ID, and respect for socio-technical contexts.

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.

Video and blog post by WPF Founder and Executive Director Pam Dixon commemorating International ID Day 2024, discussing the importance of ensuring legal identity for all people, and the equal importance of ensuring that identity systems and ecosystems Do no Harm and are built so they cannot do harm now, nor in the future.

WPF’s “AI Governance on the Ground Series” highlights and expands on topics and issues from WPF’s Risky Analysis report and its survey of AI tools. In this first publication of the series, we highlight how Canadian government agencies are implementing AI governance and algorithmic transparency mechanisms across various agencies, including its employment and transportation agencies, its Department of Veterans Affairs, and the Royal Canadian Mounted Police, among others. The agencies have evaluated the automated systems they use according to the country’s Algorithmic Impact Assessment process, or AIA, and the assessment results are public. Designers of this assessment framework — required since the country’s Directive on Automated Decision-Making went into effect in April 2019 – have now re-evaluated the AIA, updating its criteria, requirements, and risk-level scoring algorithm along the way. WPF interviewed government officials as well as key Canadian end-users of the assessments to capture the full spectrum of how the AIA is working at the ground level.