Arash Rahnama's guest appearances

Arash Rahnama

TestGuild Security Testing Podcast

Artificiality

Michael Bungay Stanier

Ben Shneiderman

Tanya Janca

Eric Martin

Rana El Kaliouby

Scott Stephenson

Greg Scott

Peter Sterling

Joe Vest

Troy Hunt

Kate O'Neill

Jeffrey Martin

Ted Kwartler

Megan Brown

Carlos Perez

OwlTail

AI is everywhere, but have you ever thought about how it can impact security? Or how to test for AI-exposed security risks? In this episode, Dr. Arash Rahnama, head of Applied AI Research at Modzy, will share his views on the need for AI-embedded security and defenses. Discover how to avoid data poisoning, the emerging momentum around adversarial AI, and techniques to defend against it. Listen up!

AI is everywhere, but have you ever thought about how it can impact security? Or how to test for AI-exposed security risks? In <a href="https://testguild.com/s26" rel="nofollow" target="_blank">this episode</a>, Dr. Arash Rahnama, head of Applied AI Research at Modzy, will share his views on the need for AI-embedded security and defenses. Discover how to avoid data poisoning, the emerging momentum around adversarial AI, and techniques to defend against it. Listen up!

Data Poisoning and Adversarial AI with Dr. Arash Rahnama

In this episode, I have a conversation with Arash Rahnama, Head of Applied AI Research at Modzy (@arashrahnamaphd, @getmodzy, www.modzy.com). We talk about techniques for providing explainability in AI, how to pair explainability with fairness to reduce bias, how AI goes wrong and how diverse teams can provide important prior knowledge to AI systems and help govern them in the wild.  This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit artificiality.substack.com

In this episode, I have a conversation with Arash Rahnama, Head of Applied AI Research at Modzy (@arashrahnamaphd, @getmodzy, <a href="http://www.modzy.com" rel="nofollow" target="_blank">www.modzy.com</a>). We talk about techniques for providing explainability in AI, how to pair explainability with fairness to reduce bias, how AI goes wrong and how diverse teams can provide important prior knowledge to AI systems and help govern them in the wild. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit <a href="https://artificiality.substack.com?utm_medium=podcast&amp;utm_campaign=CTA_1" rel="nofollow" target="_blank">artificiality.substack.com</a>

Ep. 07: Arash Rahnama of Modzy on explainability, fairness and bias in AI