<?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>Responsible-Ai on AI Charcha</title><link>https://www.aicharcha.com/tags/responsible-ai/</link><description>Recent content in Responsible-Ai on AI Charcha</description><image><title>AI Charcha</title><url>https://www.aicharcha.com/images/aicharcha-logo-refresh-1.svg</url><link>https://www.aicharcha.com/images/aicharcha-logo-refresh-1.svg</link></image><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 17 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.aicharcha.com/tags/responsible-ai/index.xml" rel="self" type="application/rss+xml"/><item><title>Enterprise AI Governance in 2026: Why Buyers Are Slowing Down Before Scaling AI</title><link>https://www.aicharcha.com/news/enterprise-ai-buyers-put-governance-before-speed/</link><pubDate>Mon, 15 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.aicharcha.com/news/enterprise-ai-buyers-put-governance-before-speed/</guid><description>Enterprise AI governance is becoming a buying priority as teams compare AI tools for permissions, data controls, audit trails, risk tiers, and safe rollout.</description></item><item><title>AI Trust Metrics for Leaders and Teams</title><link>https://www.aicharcha.com/research/may-31-ai-trust-metrics/</link><pubDate>Sun, 31 May 2026 00:00:00 +0000</pubDate><guid>https://www.aicharcha.com/research/may-31-ai-trust-metrics/</guid><description>A research note on measuring trust in AI systems through reliability, transparency, control, user confidence, and business outcomes.</description></item></channel></rss>