104 Episodo

  1. Eliminating AI Bias Through Inclusive Data Annotation with Andrea Brown

    Publicado: 18/6/2024

  2. Regulation's Role in Driving Responsible AI with Asa Whillock

    Publicado: 4/6/2024

  3. Transforming Client Experience with AI with Robbi Armstrong

    Publicado: 21/5/2024

  4. Navigating Open Source Talent, AI & Policy Challenges with Amanda Brock

    Publicado: 7/5/2024

  5. Using AI to Impact Performance Feedback Equity with Tacita Morway

    Publicado: 23/4/2024

  6. The Ethical Path to High-Quality AI Data with Fabiana Clemente

    Publicado: 9/4/2024

  7. Disrupting Data Analysis with Avi Press

    Publicado: 26/3/2024

  8. Tech, Trust, and Transformation with Paula Paul

    Publicado: 12/3/2024

  9. An Innovative Approach to AI & NLP with Milos Rusic

    Publicado: 27/2/2024

  10. New Beginnings: Open||Source||Data in Transition

    Publicado: 20/12/2023

  11. The Intersection of Open Source and AI with Stefano Maffulli & Stephen O’Grady

    Publicado: 13/12/2023

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

    Publicado: 15/11/2023

  13. How We Should Think About Data Reliability for Our LLMs with Mona Rakibe

    Publicado: 1/11/2023

  14. Throwback: Open Source Innovation, The GPL for Data, and The Data In to Data Out Ratio with Larry Augustin

    Publicado: 18/10/2023

  15. Reframing Machine Learning and AI-Assisted Development with Jorge Torres

    Publicado: 27/9/2023

  16. A Sam Ramji Feature: The Evolution of Open Source, Kubernetes, and AI's Forward Journey

    Publicado: 6/9/2023

  17. The Importance of Open Source Data for Generative AI, Now and in the Future with Abby Kearns

    Publicado: 23/8/2023

  18. The Value of Reproducibility and Ease of AI Deployment with Daniel Lenton

    Publicado: 9/8/2023

  19. ML Engineering Teams and Niche Chat Bot Experiences with Demetrios Brinkmann

    Publicado: 26/7/2023

  20. Building With Trust, Inspiration, and Reputation with Jaya Gupta, Yuliia Tkachova, and Omoju Miller

    Publicado: 12/7/2023

2 / 6

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.

Visit the podcast's native language site