<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Privacy | Professional website of Sébastien Marcel</title><link>https://www.idiap.ch/~marcel/tags/privacy/</link><atom:link href="https://www.idiap.ch/~marcel/tags/privacy/index.xml" rel="self" type="application/rss+xml"/><description>Privacy</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 01 Jan 2025 00:00:00 +0000</lastBuildDate><image><url>https://www.idiap.ch/~marcel/media/icon_hu_903cac8985788c1d.png</url><title>Privacy</title><link>https://www.idiap.ch/~marcel/tags/privacy/</link></image><item><title>CERTAIN</title><link>https://www.idiap.ch/~marcel/project/active/certain/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://www.idiap.ch/~marcel/project/active/certain/</guid><description>&lt;p&gt;CERTAIN focuses on the &lt;strong&gt;ethical and regulatory transparency of AI systems&lt;/strong&gt;,
with the goal of helping organizations assess and improve compliance in a
practical and technically grounded way.&lt;/p&gt;
&lt;p&gt;The project delivers guidelines and tools to support regulatory compliance,
assess data quality, measure bias in datasets, and protect privacy. It aligns
closely with broader work on trustworthy biometrics and responsible AI by
combining technical evaluation with legal, ethical, and operational
considerations.&lt;/p&gt;</description></item></channel></rss>