World Privacy Forum

Nov 11 2003

2003 Job Search Privacy Study: Methodology

A. Site Methodology
B. Methodology for Analyzing Resume Distribution Sites
C. Resume Writing Services Methodology

Nov 11 2003

2003 Job Search Privacy Study: Updates to This Report

When we update this report or make any changes to it, we will make notice of it in this section.

November 12, 2003: One typo corrected, page numbers added, font size of endnotes increased. “Updates” section added to report and index.

November 11, 2003: Report issued on www.worldprivacyforum.org.

Nov 11 2003

2003 Job Search Privacy Study: Appendix A – Key Unicru Screens

We are including only the screens from the first screen through the end of the background check and EEO compliance screens. A longer range of screens which includes a portion of the personality test is available by looking at the Sports Authority application site online.

Mar 06 2003

WPF Report: Resume Database Nightmare – Job Seeker Privacy at Risk

Pam Dixon, during the course of researching a separate study of resume databases, has discovered serious consumer privacy issues in resume databases that rise to the level of deserving immediate consumer notice. This report, below, highlights her findings.

Feb 22 2003

Resume Database Nightmare: Introduction

The report itself is comprised of a consumer notice, which is based primarily on public documents. The report also contains policy recommendations and job seeker tips.

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

To see the research and use this data visualization: Each...
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...

2003 Job Search Privacy Study: Methodology

2003 Job Search Privacy Study: Updates to This Report

2003 Job Search Privacy Study: Appendix A – Key Unicru Screens

WPF Report: Resume Database Nightmare – Job Seeker Privacy at Risk

Resume Database Nightmare: Introduction

Reports

Infographics

WPF in the News