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

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Manage episode 363717659 series 3461851
内容由MLSecOps.com提供。所有播客内容(包括剧集、图形和播客描述)均由 MLSecOps.com 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

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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 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

  continue reading

41集单集

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Manage episode 363717659 series 3461851
内容由MLSecOps.com提供。所有播客内容(包括剧集、图形和播客描述)均由 MLSecOps.com 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Send us a text

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 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

  continue reading

41集单集

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