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Redefining AI Ethics: The Key Role of Explainability with Beth Rudden

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Manage episode 443179550 series 3604986
Content provided by DataStax and Charna Parkey. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by DataStax and Charna Parkey or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Beth Rudden, recognized as one of the 100 most brilliant leaders in AI ethics, discusses the crucial role of explainability and traceability in building trustworthy AI systems. She shares how Bast AI is using ontologies and knowledge graphs to provide contextual relevance and understanding, enabling humans to fully trust artificial intelligence and how it allows the system to transform fields like education and healthcare.
Timestamps

00:00:00 - Intro

00:02:00 - Beth’s Journey

00:19:33​ - Ontologies in AI

00:21:44 - Data Lineage and Provenance

00:32:52 - Open Source Tools

00:38:38​ - Explainable AI

00:44:58- Inspiration from Nature
Quotes

Beth Rudden: "The best thing that I could tell you that I see is that it's going to shift from more pure mathematical and statistical to much more semantic, more qualitative. Instead of quantity, we're going to have quality."

Charna Parkey: "I love that because I've been so mathematical for most of my life. I didn't have a lot of words for the feelings or expressions, right? And so I had sort of this lack of data and the Brené Brown reference you make, like I have many of her books on my shelf and I often pull, I don't even know where it is right now, but the Atlas of the Heart because I am having this feeling and I don't know what it is."
Links

Connect with Beth
Connect with Charna

  continue reading

96 episodes

Artwork
iconShare
 
Manage episode 443179550 series 3604986
Content provided by DataStax and Charna Parkey. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by DataStax and Charna Parkey or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Beth Rudden, recognized as one of the 100 most brilliant leaders in AI ethics, discusses the crucial role of explainability and traceability in building trustworthy AI systems. She shares how Bast AI is using ontologies and knowledge graphs to provide contextual relevance and understanding, enabling humans to fully trust artificial intelligence and how it allows the system to transform fields like education and healthcare.
Timestamps

00:00:00 - Intro

00:02:00 - Beth’s Journey

00:19:33​ - Ontologies in AI

00:21:44 - Data Lineage and Provenance

00:32:52 - Open Source Tools

00:38:38​ - Explainable AI

00:44:58- Inspiration from Nature
Quotes

Beth Rudden: "The best thing that I could tell you that I see is that it's going to shift from more pure mathematical and statistical to much more semantic, more qualitative. Instead of quantity, we're going to have quality."

Charna Parkey: "I love that because I've been so mathematical for most of my life. I didn't have a lot of words for the feelings or expressions, right? And so I had sort of this lack of data and the Brené Brown reference you make, like I have many of her books on my shelf and I often pull, I don't even know where it is right now, but the Atlas of the Heart because I am having this feeling and I don't know what it is."
Links

Connect with Beth
Connect with Charna

  continue reading

96 episodes

All episodes

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