WPF Executive Director to speak at ID4Africa AGM Plenary session

WPF Executive Director Pam Dixon will be speaking at ID4Africa’s 2024 Annual General Meeting in a plenary session dedicated to the role of civil society in the African identity ecosystem. WPF in its core work has a long-standing identity project, inclusive of significant work over many years in multiple jurisdictions. (Medical ID theft, US; Aadhaar, India; Data governance and privacy in ID systems, Africa )

The ID4Africa AGM will take place 21 – 24 May, 2024 in Capetown South Africa. The plenary sessions will be made available for replay.

ID4Africa 2024 AGM site

ID4Africa 2024 Plenary sessions

WPF blog post about 2024 AGM A perspective from civil society

Posted May 20, 2024 in

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Background and Methodology: The conceptualization and initial research for this...
New Report: Risky Analysis: Assessing and Improving AI Governance Tools

We are pleased to announce the publication of a new WPF report, “Risky Analysis: Assessing and Improving AI Governance Tools.” This report sets out a definition of AI governance tools, documents why and how these tools are critically important for trustworthy AI, and where these tools are around the world. The report also documents problems in some AI governance tools themselves, and suggests pathways to improve AI governance tools and create an evaluative environment to measure their effectiveness. AI systems should not be deployed without simultaneously evaluating the potential adverse impacts of such systems and mitigating their risks, and most of the world agrees about the need to take precautions against the threats posed. The specific tools and techniques that exist to evaluate and measure AI systems for their inclusiveness, fairness, explainability, privacy, safety and other trustworthiness issues — called in the report collectively AI governance tools – can improve such issues. While some AI governance tools provide reassurance to the public and to regulators, the tools too often lack meaningful oversight and quality assessments. Incomplete or ineffective AI governance tools can create a false sense of confidence, cause unintended problems, and generally undermine the promise of AI systems. The report contains rich background details, use cases, potential solutions to the problems discussed in the report, and a global index of AI Governance Tools.
National IDs Around the World — Interactive map

About this Data Visualization: This interactive map displays the presence...