Unpacking AI Bias: Impact, Detection, Prevention, and Policy; With Guest: Dr. Cari Miller, MBA, FHCA

The MLSecOps Podcast

What is AI bias and how does it impact both organizations and individual members of society? How does one detect if they’ve been impacted by AI bias? What can be done to prevent or mitigate it? Can AI/ML systems be audited for bias and, if so, how?
The MLSecOps Podcast explores these questions and more with guest Cari Miller, Founder of the Center for Inclusive Change and member of the For Humanity Board of Directors.
This week’s episode delves into the controversial topics of Trusted and Ethical AI within the realm of MLSecOps, offering insightful discussion and thoughtful perspectives. It also highlights the importance of continuing the conversation around AI bias and working toward creating more ethical and fair AI/ML systems.
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