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AI Literacy Series Ep. 7: Dr. Andrew Ng on Scaling AI for Social Good
Manage episode 478620608 series 2887085
Content provided by Miriam Vogel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Miriam Vogel or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
In this episode of In AI We Trust?, Dr. Andrew Ng joins co-hosts Miriam Vogel and Rosalind Wiseman to discuss AI literacy and the need for widespread AI understanding. Dr. Ng makes a call to action that everyone should learn to code, especially with AI-assisted coding becoming more accessible. The episode also addresses AI fears and misconceptions, highlighting the importance of learning about AI for increased productivity and potential career growth. The conversation further explores AI's potential for positive large-scale social impact, such as in climate modeling, and the challenges of conveying this potential amidst widespread fears across the general public. The discussion addresses AI's potential for social good, the urgent need for AI education and upskilling, and the complexities of AI integration in education. This important episode underscores Andrew, Miriam & Rosalind’s belief in the transformative potential of AI when individuals are empowered to manage, adapt and build with it, fostering innovation across various sectors and in user’s daily lives.
109 episodes
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Manage episode 478620608 series 2887085
Content provided by Miriam Vogel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Miriam Vogel or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
In this episode of In AI We Trust?, Dr. Andrew Ng joins co-hosts Miriam Vogel and Rosalind Wiseman to discuss AI literacy and the need for widespread AI understanding. Dr. Ng makes a call to action that everyone should learn to code, especially with AI-assisted coding becoming more accessible. The episode also addresses AI fears and misconceptions, highlighting the importance of learning about AI for increased productivity and potential career growth. The conversation further explores AI's potential for positive large-scale social impact, such as in climate modeling, and the challenges of conveying this potential amidst widespread fears across the general public. The discussion addresses AI's potential for social good, the urgent need for AI education and upskilling, and the complexities of AI integration in education. This important episode underscores Andrew, Miriam & Rosalind’s belief in the transformative potential of AI when individuals are empowered to manage, adapt and build with it, fostering innovation across various sectors and in user’s daily lives.
109 episodes
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Similar to In AI We Trust?
Android Backstage, a podcast by and for Android developers. Hosted by developers from the Android engineering team, this show covers topics of interest to Android programmers, with in-depth discussions and interviews with engineers on the Android team at Google. Subscribe to Android Developers YouTube → https://goo.gle/AndroidDevs
…
continue reading
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…
continue reading
Welcome to the Security Weekly Podcast Network, your all-in-one source for the latest in cybersecurity! This feed features a diverse lineup of shows, including Application Security Weekly, Business Security Weekly, Paul's Security Weekly, Enterprise Security Weekly, and Security Weekly News. Whether you're a cybersecurity professional, business leader, or tech enthusiast, we cover all angles of the cybersecurity landscape. Tune in for in-depth panel discussions, expert guest interviews, and ...
…
continue reading
BBC Radio 5 live’s award winning gaming podcast, discussing the world of video games and games culture.
…
continue reading
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continue reading
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