Embedding Responsible AI in Your Models and Your Team (Anand Rao, Global Artificial Intelligence Lead, PwC)

<p>Who uses the models that we create and how do they use them? Those key questions underpin the notion of responsible AI. </p> <p>Since algorithms can have a significant societal impact, it’s vital that data scientists are aware of the broader context in which they may be applied. </p> <p>In this episode, <a href="https://www.linkedin.com/in/anandsrao/">Anand Rao</a>, Global Artificial Intelligence Lead at <a href="https://www.pwc.com/gx/en">PwC</a>, breaks down why responsible AI should be an important consideration for every data science team. Plus, he explains what you need to be successful in AI consulting, and why a portfolio approach to ROI is the best way to demonstrate value to the business. </p> <p>We discuss:</p> <ul><li>The difference between AI in the 1980s and today</li> <li>Why data science leaders should care about responsible AI</li> <li>The ingredients for an effective data science consulting practice</li> <li>ROI analysis in data science</li> </ul> <p>Tune in on <a href="https://podcasts.apple.com/us/podcast/data-science-leaders/id1564587119">Apple Podcasts</a>, <a href="https://open.spotify.com/show/0zJgKGIHZzJG1VgSDHNojP">Spotify</a>, our <a href="https://www.dominodatalab.com/data-science-leaders-podcast/">website</a>, or wherever you listen to podcasts. </p> <p>Can’t see the links above? Just visit <a href="http://domino.buzz/podcast">domino.buzz/podcast</a> for helpful links from each episode.</p>