Open||Source||Data
Podcast készítő Charna Parkey - Keddek

Kategóriák:
91 Epizód
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Open Source AI and Copyright: Building Ethical Models | Kent Keirsey
Közzétéve: 2025. 02. 11. -
Building Trust in AI: From Open Source to Global Impact with host, Charna Parkey
Közzétéve: 2024. 10. 08. -
AI Regulations in Financial Services with Vinay Kumar
Közzétéve: 2024. 09. 24. -
The importance and the Challenges & Solutions of AI Literacy with Brian Magerko
Közzétéve: 2024. 08. 13. -
Demystifying AI Governance: A Practical Guide for Organizations with Heather Domin
Közzétéve: 2024. 07. 30. -
Transforming Food Systems with Regenerative AI with Ethan Soloviev
Közzétéve: 2024. 07. 16. -
Redefining AI Ethics: The Key Role of Explainability with Beth Rudden
Közzétéve: 2024. 07. 02. -
Eliminating AI Bias Through Inclusive Data Annotation with Andrea Brown
Közzétéve: 2024. 06. 18. -
Regulation's Role in Driving Responsible AI with Asa Whillock
Közzétéve: 2024. 06. 04. -
Transforming Client Experience with AI with Robbi Armstrong
Közzétéve: 2024. 05. 21. -
Navigating Open Source Talent, AI & Policy Challenges with Amanda Brock
Közzétéve: 2024. 05. 07. -
Using AI to Impact Performance Feedback Equity with Tacita Morway
Közzétéve: 2024. 04. 23. -
The Ethical Path to High-Quality AI Data with Fabiana Clemente
Közzétéve: 2024. 04. 09. -
Disrupting Data Analysis with Avi Press
Közzétéve: 2024. 03. 26. -
Tech, Trust, and Transformation with Paula Paul
Közzétéve: 2024. 03. 12. -
An Innovative Approach to AI & NLP with Milos Rusic
Közzétéve: 2024. 02. 27. -
New Beginnings: Open||Source||Data in Transition
Közzétéve: 2023. 12. 20. -
The Intersection of Open Source and AI with Stefano Maffulli & Stephen O’Grady
Közzétéve: 2023. 12. 13. -
Throwback: The AI-Native Stack with Mikiko Bazeley, Zain Hasan, and Tuana Celik
Közzétéve: 2023. 11. 15. -
How We Should Think About Data Reliability for Our LLMs with Mona Rakibe
Közzétéve: 2023. 11. 01.
What can we learn from ai-native development through stimulating conversations with developers, regulators, academics and people like you that drive forward development, seek to understand impact, and are working to mitigate risk in this new world? Join Charna Parkey and the community shaping the future of open source data, open source software, data in AI, and much more.