<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>New Zealand on SoloSoft</title><link>https://www.solosoft.dev/tags/new-zealand/</link><description>Recent content in New Zealand on SoloSoft</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://www.solosoft.dev/tags/new-zealand/index.xml" rel="self" type="application/rss+xml"/><item><title>Who Is Liable When AI Gives Bad Financial Advice? Regulatory and Liability Impac</title><link>https://www.solosoft.dev/trends/2026-05-10-whos-liable-when-ai-gives-bad-financial-advice-na/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/trends/2026-05-10-whos-liable-when-ai-gives-bad-financial-advice-na/</guid><description>&lt;h2 id="why-is-liability-for-ai-financial-advice-so-tricky"&gt;Why Is Liability for AI Financial Advice So Tricky?&lt;/h2&gt;
&lt;p&gt;&lt;strong&gt;Liability is complex because the AI system&amp;rsquo;s decision chain involves developers, financial firms, and users, and the algorithm&amp;rsquo;s &amp;ldquo;black box&amp;rdquo; nature makes traditional laws difficult to apply.&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The liability framework for traditional financial advisors is quite clear: if an advisor gives bad advice due to negligence or fraud, consumers can pursue professional liability, and financial regulators can impose penalties. However, when advice comes from an AI system, the issue becomes immediately blurred. The engineering team that developed the AI model, the bank that integrated it into financial products, and the consumer who ultimately uses the tool—there are multiple layers of liability gaps among them.&lt;/p&gt;</description></item></channel></rss>