Скачать с ютуб Michael Hind discusses mechanisms to create transparent AI and the nuances of AI regulation в хорошем качестве

Michael Hind discusses mechanisms to create transparent AI and the nuances of AI regulation

In the 23rd episode of the All Things AI Podcast, I had the opportunity to speak with Michael Hind, a distinguished research staff member at IBM. His efforts in the responsible AI field have led to the development of the AI FactSheet, a research effort by IBM to increase transparency and open-source AI. Our discussion touched on: 🖥️ IBM AI Factsheet 🗺️ Open-source AI 🤖 IBM WatsonX 🛟 Responsible AI: why does it matter, current AI, institutional collaboration And much more! I can’t thank Michael enough for taking valuable time out of his day to speak with me about ethical practicum in AI. I especially enjoyed this interview because of Michael’s insightful analogies about AI, which make this the perfect episode for everyone who’s recently become interested in emerging technology! Make sure to watch and comment on anything you find interesting below! Additionally, if anyone has questions they would like me to ask future speakers, please comment here or on the YouTube interview. To stay up-to-date with future discussions, subscribe, turn on notifications, like, and share with friends & family! 🔔 Follow Eashan Kosaraju on LinkedIn and subscribe to the channel to support the efforts of All Things AI!