<p>Our guest is Cathy O&apos;Neil, author of <em>Weapons of Math Destruction: how big data increases inequality and threatens democracy.<br/><br/></em>Cathy joined us to<em> </em>discuss critical aspects for auditors to consider, including:</p><ul><li>The human element: why understanding &apos;for whom an algorithm might fail&apos; is more important than the detailed technical design of an algorithm.</li><li>Algorithm testing: the importance of post-deployment testing to ensure there are no unintended adverse outcomes. </li><li>Setting standards: the need for industry-wide standards so that regulators can ensure there is no bias or discrimination in how algorithms operate. </li><li>Laggers and leaders: the four big industries/domains using algorithms that need to step up audit in their space and how law-makers and regulators are catching up.</li><li>Emerging AI, e.g. language models/chatbots - why <em>trust</em> by users is key, and the pros and cons of using these models.</li></ul><p><b>Links</b></p><ul><li>Cathy&apos;s company, <a href='https://orcaarisk.com/'>ORCAA</a> </li><li><a href='https://www.amazon.com/Weapons-Math-Destruction-Cathy-ONeil/dp/0553418815'>Weapons of Math Destruction </a>(book)  </li></ul><p><br/><b>About this podcast</b><br/>The podcast for performance auditors and internal auditors that use (or want to use) data.<br/> Hosted by <a href='https://www.linkedin.com/in/conorfmcgarrity'>Conor McGarrity</a> and <a href='https://www.linkedin.com/in/yusufmoolla/'>Yusuf Moolla</a>. <br/>Produced by <a href='https://www.riskinsights.com.au/'>Risk Insights</a> (riskinsights.com.au). </p>