<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Policy Monitoring on DyCoAI | AI and Me</title><link>https://www.dycoai.com/tags/policy-monitoring/</link><description>Recent content in Policy Monitoring on DyCoAI | AI and Me</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 19 Sep 2026 10:05:00 +0800</lastBuildDate><atom:link href="https://www.dycoai.com/tags/policy-monitoring/index.xml" rel="self" type="application/rss+xml"/><item><title>Bias, Fairness &amp; Policy Monitoring as an Agentic Skill</title><link>https://www.dycoai.com/notes/agentic-skill-bias-fairness-and-policy-monitoring/</link><pubDate>Sat, 19 Sep 2026 10:05:00 +0800</pubDate><guid>https://www.dycoai.com/notes/agentic-skill-bias-fairness-and-policy-monitoring/</guid><description>&lt;p&gt;&lt;strong&gt;Bias, Fairness &amp;amp; Policy Monitoring&lt;/strong&gt; is an agentic skill that leverages the pattern-recognition and analytical capabilities of foundation models to systematically detect potentially biased, unfair, or policy-violating trends across large-scale datasets, generated outputs, and automated decisions.&lt;/p&gt;
&lt;p&gt;Its primary function is to identify systemic disparities and potential ethical deviations, providing value in human–AI collaboration by acting as a continuous, scalable diagnostic layer that augments human oversight and supports efforts toward equitable outcomes without the bottleneck of manual review.&lt;/p&gt;</description></item></channel></rss>