Open||Source||Data

Podcast készítő Charna Parkey - Keddek

Keddek

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91 Epizód

  1. Open Source AI and Copyright: Building Ethical Models | Kent Keirsey

    Közzétéve: 2025. 02. 11.
  2. Building Trust in AI: From Open Source to Global Impact with host, Charna Parkey

    Közzétéve: 2024. 10. 08.
  3. AI Regulations in Financial Services with Vinay Kumar

    Közzétéve: 2024. 09. 24.
  4. The importance and the Challenges & Solutions of AI Literacy with Brian Magerko

    Közzétéve: 2024. 08. 13.
  5. Demystifying AI Governance: A Practical Guide for Organizations with Heather Domin

    Közzétéve: 2024. 07. 30.
  6. Transforming Food Systems with Regenerative AI with Ethan Soloviev

    Közzétéve: 2024. 07. 16.
  7. Redefining AI Ethics: The Key Role of Explainability with Beth Rudden

    Közzétéve: 2024. 07. 02.
  8. Eliminating AI Bias Through Inclusive Data Annotation with Andrea Brown

    Közzétéve: 2024. 06. 18.
  9. Regulation's Role in Driving Responsible AI with Asa Whillock

    Közzétéve: 2024. 06. 04.
  10. Transforming Client Experience with AI with Robbi Armstrong

    Közzétéve: 2024. 05. 21.
  11. Navigating Open Source Talent, AI & Policy Challenges with Amanda Brock

    Közzétéve: 2024. 05. 07.
  12. Using AI to Impact Performance Feedback Equity with Tacita Morway

    Közzétéve: 2024. 04. 23.
  13. The Ethical Path to High-Quality AI Data with Fabiana Clemente

    Közzétéve: 2024. 04. 09.
  14. Disrupting Data Analysis with Avi Press

    Közzétéve: 2024. 03. 26.
  15. Tech, Trust, and Transformation with Paula Paul

    Közzétéve: 2024. 03. 12.
  16. An Innovative Approach to AI & NLP with Milos Rusic

    Közzétéve: 2024. 02. 27.
  17. New Beginnings: Open||Source||Data in Transition

    Közzétéve: 2023. 12. 20.
  18. The Intersection of Open Source and AI with Stefano Maffulli & Stephen O’Grady

    Közzétéve: 2023. 12. 13.
  19. Throwback: The AI-Native Stack with Mikiko Bazeley, Zain Hasan, and Tuana Celik

    Közzétéve: 2023. 11. 15.
  20. How We Should Think About Data Reliability for Our LLMs with Mona Rakibe

    Közzétéve: 2023. 11. 01.

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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.

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