How Can You Address AI Bias In HR? With Jeff Pole, Warden AI
<p><a href="https://www.linkedin.com/in/jeffrey-pole-91887a44/" rel="nofollow">Jeff Pole</a> runs Warden, an AI assurance provider that evaluates and communicates the trustworthiness of AI systems, with a particular focus on HR technology. Their platform does continuous auditing and testing for AI risks, such as bias, and helps support businesses to be compliant – particularly around new AI regulations – and build trust through transparency.</p>
<p>In this conversation, Jeff talks to Sultan about: </p>
<ul>
<li>The changing nature of AI and automation in HR, and the associated risks</li>
<li>The process of <a href="https://trust.warden-ai.com/beamery" rel="nofollow">continuous auditing</a>, and testing for bias in AI models</li>
<li>Transparency as a core theme in relevant regulations and guidelines </li>
<li>Building trust in models and through user experiences </li>
<li>The importance of explainability in AI-powered systems </li>
<li>Using AI to actually reduce bias in hiring and other HR processes</li>
</ul>
<br>
<blockquote>
“There’s also a win-win opportunity here: Where the people-based processes the AI might be complementing are not necessarily what we should be emulating … We know there’s a huge amount of unconscious bias in human processes; for example, in hiring. And the AI can, if carefully designed and properly used, actually be an improvement on that status quo.”– Jeff Pole, Co-founder & CEO, Warden AI
</blockquote>