The MLSecOps Podcast

Responsible AI: Defining, Implementing, and Navigating the Future; With Guest: Diya Wynn

May 17, 2023 MLSecOps.com Season 1 Episode 9
Responsible AI: Defining, Implementing, and Navigating the Future; With Guest: Diya Wynn
The MLSecOps Podcast
More Info
The MLSecOps Podcast
Responsible AI: Defining, Implementing, and Navigating the Future; With Guest: Diya Wynn
May 17, 2023 Season 1 Episode 9
MLSecOps.com

In this episode of The MLSecOps Podcast, Diya Wynn, Sr. Practice Manager in Responsible AI in the Machine Learning Solutions Lab at Amazon Web Services shares her background and the motivations that led her to pursue a career in Responsible AI. 

Diya shares her passion for work related to diversity, equity, and inclusion (DEI), and how Responsible AI offers a unique opportunity to merge her passion for DEI with what her core focus has always been: technology. She explores the definition of  Responsible AI as an operating approach focused on minimizing unintended impact and maximizing benefits. The group also spends some time in this episode discussing Generative AI and its potential to perpetuate biases and raise ethical concerns. 

Thanks for listening! Find more episodes and transcripts at https://bit.ly/MLSecOpsPodcast.

Additional tools and resources to check out:
Protect AI Radar: End-to-End AI Risk Management
Protect AI’s ML Security-Focused Open Source Tools
LLM Guard - The Security Toolkit for LLM Interactions
Huntr - The World's First AI/Machine Learning Bug Bounty Platform

Show Notes

In this episode of The MLSecOps Podcast, Diya Wynn, Sr. Practice Manager in Responsible AI in the Machine Learning Solutions Lab at Amazon Web Services shares her background and the motivations that led her to pursue a career in Responsible AI. 

Diya shares her passion for work related to diversity, equity, and inclusion (DEI), and how Responsible AI offers a unique opportunity to merge her passion for DEI with what her core focus has always been: technology. She explores the definition of  Responsible AI as an operating approach focused on minimizing unintended impact and maximizing benefits. The group also spends some time in this episode discussing Generative AI and its potential to perpetuate biases and raise ethical concerns. 

Thanks for listening! Find more episodes and transcripts at https://bit.ly/MLSecOpsPodcast.

Additional tools and resources to check out:
Protect AI Radar: End-to-End AI Risk Management
Protect AI’s ML Security-Focused Open Source Tools
LLM Guard - The Security Toolkit for LLM Interactions
Huntr - The World's First AI/Machine Learning Bug Bounty Platform