Hear from data science, computer vision and AI champion Zura Seferbekova for a deep-dive into the misconceptions, challenges and often untrue assumptions about AI. Zura reminds our host, Chris Howard, that AI tooling remains built on complex mathematical models and probability matrices, and shares her thoughts on the role of regulation and community in building responsible AI tools for the future.
👉 Get Access to the Anywhere Club: https://bit.ly/awclub-en
Hear from Data Science, Computer Vision and AI Champion Zura Seferbekova for a deep-dive into the misconceptions, challenges and often untrue assumptions about AI. Zura reminds our host, Chris Howard, that AI tooling remains built on complex mathematical models and probability matrices, and shares her thoughts on the role of regulation and community in building responsible AI tools for the future.
Â
NAVIGATION
00:00 Introduction
01:48 Setting the Scene on AI's Challenges & Myths
09:40 A Human Perception of AI
10:39 Explainability in AI
15:17 Is a Fully open-sourced AI the Future?
21:14 AI - Is it Enhancing or Eliminating IT roles?
29:01 A Summary of AI
29:57 Wrap-up
Â
WHERE TO WATCH US AND LISTEN
🔸 YouTube: https://youtu.be/bxLFHRcWBjc
🔸 Google Podcasts: https://bit.ly/awclub-en-google
🔸 Apple Podcasts: https://bit.ly/awclub-en-apple
🔸 Spotify: https://bit.ly/awclub-en-spotify
🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/22
Â
LINKS FROM THE EPISODE
🔹 Zura on Linkedin: https://www.linkedin.com/in/zura-seferbekova-aa8814113/
Â
ANYWHERE CLUB ON INTERNET
🔸 Web: https://bit.ly/awclub-en
🔸 Discord: https://epa.ms/acd
🔸 Instagram: https://instagram.com/anywhere_club