Welcome to the Responsible AI Podcast

In this episode, we welcomed Scott Zoldi. As Chief Analytics Officer at FICO, a company that powers billions of AI-driven decisions in production, Scott has authored over 100 patents in areas like ethics, interpretability, and explainability. “Building models without a framework around Responsible AI and ethics could have a big impact on an organization's revenue, their customers, and also their brand,” Scott said. With more regulations coming soon, including a recent proposal from the EU, we spoke with Scott about how AI needs to grow up fast — and what organizations can do about it. Tune in to the full episode for a more insightful discussion!

For more information, please visit http://bit.ly/FiddlerPodcast

Welcome to the Responsible AI Podcast

When we’re talking about Responsible AI in the industry or media, usually we’re talking about a certain aspect of the solution. What are these different dimensions? This week in our Responsible AI podcast, we spoke with Anjana Susarla, who holds the Omura-Saxena Professorship in Responsible AI at Michigan State’s Broad College of Business.

Tune in to the full episode for a more insightful discussion!

For more information, please visit http://bit.ly/FiddlerPodcast

Welcome to the Responsible AI Podcast

This week, we welcomed Anand Rao to the Responsible AI podcast. With a PhD in AI, an MBA, and over two decades of experience working in AI technology and consulting, Anand brings science and business expertise to his role as the global AI lead for PwC. His responsibilities include consulting over 25 countries on their national AI strategy. We talked with Anand about the conversations he has with his clients and the approaches he uses to help organizations implement AI responsibly.

Tune in to the full episode for more insightful discussion!

For more information, please visit http://bit.ly/FiddlerPodcast

Welcome to the Responsible AI Podcast

In this Responsible AI Podcast, we met with Fiona McEvoy, a writer, researcher, and founder of YouTheData.com, to learn her perspective on topics like algorithmic bias, deep fakes, emotional AI, and what she loosely calls “algorithmic influence”: the way that AI systems impact our behavior.

Tune in to the full episode for more insightful discussion!

For more information, please visit http://bit.ly/FiddlerPodcast

In this Responsible AI Podcast episode, we were excited to speak with Lofred Madzou, Project Lead for AI at the World Economic Forum, managing AI governance projects around the world. Lofred’s previous work includes serving as a policy officer at the French Digital Council, specializing in AI regulation.

When we asked Lofred to explain the top three things that teams should keep in mind when implementing AI, his response was: 1. Context is everything. 2. It’s everyone’s responsibility. 3. Before bringing AI to market, we need to come to terms with what AI can do—and what it cannot do.

Tune in to the full episode for more insightful discussion!

For more information, please visit http://bit.ly/FiddlerPodcast

In this episode of the Responsible AI Podcast, we have Maria Axente who is the Responsible AI lead for PwC UK. She works with AI practitioners, conducts research in areas like AI audits and gender in AI, collaborates with organizations like the World Economic Forum, and consults for many of the largest businesses in the UK to help them implement responsible AI. Her work puts her at the crux of all things AI, able to see not just the technology, but the context as well. We spoke with Maria about what responsible AI means, how its importance is often overlooked, and creative ways to incentivize teams to implement AI ethically.

For more information, please visit http://bit.ly/FiddlerPodcast

Panel discussion on AI in Finance featuring Agus Sudjianto, EVP & Head of Model Risk, Wells Fargo, Jacob Kosoff, Head of MRM & Validation, Regions Bank, Sri Krishnamurthy, CEO, QuantUniversity, and Tulsee Doshi, Product Lead, Fairness & Responsible AI, Google.

Moderated by Krishna Gade, CEO & Founder, Fiddler AI

For more information, please visit http://bit.ly/FiddlerPodcast

This conversation was part of Fiddler's 3rd annual Explainable AI Summit on October 21, 2020.

Explainability is the most effective way to ensure AI solutions are transparent, accountable, responsible, fair, and ethical across use cases and industries. When you know why your models are doing something, you have the power to make them better while also sharing this knowledge to empower your entire organization. In this panel discussion, industry and research experts will shed light on the state of Explainable AI today, and key considerations to ensure success moving forward.

For more information, please visit http://bit.ly/FiddlerPodcast

Panelists:

Amirata Ghorbani, PhD Candidate in A.I., Stanford University

Sara Hooker, Research Scholar, Google Brain

Pradeep Natarajan, Principal Scientist, Amazon Alexa AI

Victor Storchan, Senior Machine Learning Engineer at JPMorgan Chase & Co.

Moderated by Amit Paka, Founder and CPO, Fiddler