Open||Source||Data
En podkast av Charna Parkey
104 Episoder
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Eliminating AI Bias Through Inclusive Data Annotation with Andrea Brown
Publisert: 18.6.2024 -
Regulation's Role in Driving Responsible AI with Asa Whillock
Publisert: 4.6.2024 -
Transforming Client Experience with AI with Robbi Armstrong
Publisert: 21.5.2024 -
Navigating Open Source Talent, AI & Policy Challenges with Amanda Brock
Publisert: 7.5.2024 -
Using AI to Impact Performance Feedback Equity with Tacita Morway
Publisert: 23.4.2024 -
The Ethical Path to High-Quality AI Data with Fabiana Clemente
Publisert: 9.4.2024 -
Disrupting Data Analysis with Avi Press
Publisert: 26.3.2024 -
Tech, Trust, and Transformation with Paula Paul
Publisert: 12.3.2024 -
An Innovative Approach to AI & NLP with Milos Rusic
Publisert: 27.2.2024 -
New Beginnings: Open||Source||Data in Transition
Publisert: 20.12.2023 -
The Intersection of Open Source and AI with Stefano Maffulli & Stephen O’Grady
Publisert: 13.12.2023 -
Throwback: The AI-Native Stack with Mikiko Bazeley, Zain Hasan, and Tuana Celik
Publisert: 15.11.2023 -
How We Should Think About Data Reliability for Our LLMs with Mona Rakibe
Publisert: 1.11.2023 -
Throwback: Open Source Innovation, The GPL for Data, and The Data In to Data Out Ratio with Larry Augustin
Publisert: 18.10.2023 -
Reframing Machine Learning and AI-Assisted Development with Jorge Torres
Publisert: 27.9.2023 -
A Sam Ramji Feature: The Evolution of Open Source, Kubernetes, and AI's Forward Journey
Publisert: 6.9.2023 -
The Importance of Open Source Data for Generative AI, Now and in the Future with Abby Kearns
Publisert: 23.8.2023 -
The Value of Reproducibility and Ease of AI Deployment with Daniel Lenton
Publisert: 9.8.2023 -
ML Engineering Teams and Niche Chat Bot Experiences with Demetrios Brinkmann
Publisert: 26.7.2023 -
Building With Trust, Inspiration, and Reputation with Jaya Gupta, Yuliia Tkachova, and Omoju Miller
Publisert: 12.7.2023
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.
