Medical ID Theft Training for law enforcement and health care professionals

WPF Conducts Medical ID Theft Training — Pam Dixon of WPF participated in a detailed daylong training for law enforcement and health care professionals on medical identity theft detection, prevention, and cures. The training was held at the campus of the Denver Health Medical Center.

Visit the WPF Medical ID Theft page for more information about medical identity theft, including questions and answers for victims, best practices for health care providers, and a geographical map of the crime.

Visit the WPF Medical ID Theft Page

Posted April 11, 2012 in Blog Post, Events and Conferences, Medical Identity Theft, News, Press, and Media

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...

Medical ID Theft Training for law enforcement and health care professionals

Visit the WPF Medical ID Theft Page