New CSS rules

“Strong” and “em” and “cite” and “code” already have rules written for the ID called “center”.

p — By calling the toll free number

em — instead of visiting the online site,

strong — consumers are also protected

cite — from the potentially confusing

samp — sales and marketing information

dfn — at the official free annual

var — credit report site.

code — By calling the toll free number instead

kbd — of visiting the online site, consumers

The World Privacy Forum (em) urges consumers who qualify (strong) for ordering a federally (cite) mandated free credit report to call the toll free 800 XXXaddnumberXXX number instead of ordering their free credit report (samp) online. Calling the toll free number (dfn) does not expose consumers to harm. However, consumers who try to use (var) the official online site www.annualcreditreport.com may encounter numerous challenges, some of them potentially serious.

The following code is tagged with “kbd” around all. It uses “var” for the keywords emphasis. I did not use “code” because it indents and I had to use “br” tags to keep the long lines from widening the page

(kbd) <script language=”Javascript” src=”http:// landing.domainsponsor.com/scripts/flex.php? domainname=annualcresitreport.com&a_id=56 5&num=6&option=javascript&module=oneclick& position=main_popular&keywords=free+credit+ report+online (var) &offensiveness=0&srch=11091018 3180260225&sub1=”></script>

Posted February 24, 2005 in Uncategorized

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...
Report: From the Filing Cabinet to the Cloud: Updating the Privacy Act of 1974

This comprehensive report and proposed bill text is focused on the Privacy Act of 1974, an important and early Federal privacy law that applies to the government sector and some contractors. The Privacy Act was written for the 1970s information era -- an era that was characterized by the use of mainframe computers and filing cabinets. Today's digital information era looks much different than the '70s: smart phones are smarter than the old mainframes, and documents are now routinely digitized and stored and perhaps even analyzed in the cloud, among many other changes. The report focuses on why the Privacy Act needs an update that will bring it into this century, and how that could look and work. This work was written by Robert Gellman, and informed by a two-year multi-stakeholder process.