Biometrics Institute GDPR & biometrics seminar, WPF moderating

WPF executive director Pam Dixon will be moderating a Biometrics Institute seminar in Brussels 17 April on implications and implementation of the GDPR. The event will be held at the Office of the Spanish National Research Council, 7th Floor, Room 3, Rue du Trône 62, 1050 Brussels. The event is from 1:30-5:30 pm.

To attend the event, register on site or online at Biometrics Institute.

Moderator: Pam Dixon, World Privacy Forum (Also a member of the BI Privacy Expert Group.)

I: Introduction to GDPR

II. Key areas for biometrics companies to take note of, and key risk and compliance areas.

Regulator perspective: Christian D’Cunha, Office of the European Data Protection Supervisor

Privacy and legal perspective: Els Kindt, Katholieke Universiteit Leuven, Belgium

Banking industry perspective: Fernando Garcia-Quismondo, Innovation R&D, Grupo Santander

Implementer perspective: Dan Bachenheimer, Member of BI Privacy Expert Group and Principal Director, Accenture Security

III. Case studies in GDPR implementation

Multinational perspective: John Grant, Palantir, on technology solutions in implementation.

Regulator perspective: Christian D’Cunha, Office of the European Data Protection

Dan Bachenheimer, Member of BI Privacy Expert Group and Principal Director, Accenture Security

Posted April 16, 2018 in

Global Visualization of Countries with Data Privacy Laws, Treaties, or Conventions

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...