<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data Protection on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/data-protection/</link><description>Recent content in Data Protection on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/data-protection/index.xml" rel="self" type="application/rss+xml"/><item><title>Privacy</title><link>https://terms-en.ai-term-hub.com/en/terms/privacy/</link><pubDate>Sat, 18 Jul 2026 09:36:45 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/privacy/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>In artificial intelligence, privacy refers to the protection of sensitive user information from unauthorized access or misuse during data collection, model training, and inference phases. It involves implementing technical safeguards like differential privacy and federated learning to ensure that individual identities cannot be reverse-engineered from aggregated datasets or model outputs, thereby maintaining trust and regulatory compliance.&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>The right of individuals to control how their personal data is collected, used, and shared within AI systems.&lt;/p></description></item></channel></rss>