<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Regulation News on Mavai Schweiz</title><link>https://mavai.ch/en/regulations/</link><description>Recent content in Regulation News on Mavai Schweiz</description><generator>Hugo</generator><language>en</language><atom:link href="https://mavai.ch/en/regulations/index.xml" rel="self" type="application/rss+xml"/><item><title>FINMA &amp; AI in Banking</title><link>https://mavai.ch/en/regulations/finma/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://mavai.ch/en/regulations/finma/</guid><description>&lt;p&gt;The Swiss Financial Market Supervisory Authority (FINMA) oversees banks, insurance companies, and other financial institutions in Switzerland. As AI adoption accelerates across the sector, FINMA&amp;rsquo;s expectations around model risk management, operational resilience, and governance have significant implications for how organisations deploy and monitor AI systems.&lt;/p&gt;
&lt;h2 id="what-finma-expects"&gt;What FINMA expects&lt;/h2&gt;
&lt;p&gt;FINMA does not yet have AI-specific regulation, but its existing supervisory framework — particularly around model risk and operational risk — applies directly to AI systems:&lt;/p&gt;</description></item><item><title>ISO 42001</title><link>https://mavai.ch/en/regulations/iso-42001/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://mavai.ch/en/regulations/iso-42001/</guid><description>&lt;p&gt;ISO/IEC 42001 is the first international standard for AI management systems (AIMS). Published in 2023, it provides a framework for organisations to establish, implement, maintain, and continually improve their use of AI in a responsible manner.&lt;/p&gt;
&lt;h2 id="what-it-covers"&gt;What it covers&lt;/h2&gt;
&lt;p&gt;ISO 42001 is a management system standard — it defines &lt;em&gt;how&lt;/em&gt; an organisation should govern AI, not &lt;em&gt;what&lt;/em&gt; specific technology to use. Key requirements include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Risk assessment&lt;/strong&gt; — identify and evaluate risks associated with AI systems, including unintended behaviours, bias, and performance degradation&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Performance measurement&lt;/strong&gt; — establish objectives and metrics for AI system performance, with processes to monitor and measure against these&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Continuous improvement&lt;/strong&gt; — maintain processes to detect, respond to, and learn from AI system failures or performance drift&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Documentation and evidence&lt;/strong&gt; — maintain auditable records demonstrating that AI systems meet stated objectives&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="the-testing-implication"&gt;The testing implication&lt;/h2&gt;
&lt;p&gt;Clause after clause, ISO 42001 returns to the same theme: organisations must have &lt;strong&gt;measurable, evidenced-based&lt;/strong&gt; assurance that their AI systems perform as intended.&lt;/p&gt;</description></item></channel></rss>