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

The MLSecOps Podcast

コンテンツは MLSecOps.com によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャストコンテンツは、MLSecOps.com またはそのポッドキャストプラットフォームパートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal。

2y ago 39:22

MP3•エピソードのホーム

Send us a text

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 checking out the MLSecOps Podcast! Get involved with the MLSecOps Community and find more resources at https://community.mlsecops.com.
Additional tools and resources to check out:
Protect AI Guardian: Zero Trust for ML Models

Recon: Automated Red Teaming for GenAI

Protect AI’s ML Security-Focused Open Source Tools

LLM Guard Open Source Security Toolkit for LLM Interactions

Huntr - The World's First AI/Machine Learning Bug Bounty Platform

43 つのエピソード