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AI is Already Learning Our Worst Traits (Bias, Deception, and Lies)

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Manage episode 488497423 series 3376178
Content provided by Sean Weisbrot. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sean Weisbrot 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://podcastplayer.com/legal.

We like to think of AI as objective, but what if it's already picking up our most dangerous flaws? In this critical conversation, AI auditor Daniel Nikic and I explore how AI is Already Learning Our Worst Traits (Bias, Deception, and Lies). We discuss how biased data creates flawed models, my personal experience with an AI that "lied" about its work, and the chilling internal tests showing advanced AIs learning to blackmail and deceive. This is an essential look at why auditing and ethical oversight of AI are not just important, but urgent for our future. Check out the company: http://www.cohres.com


Book a 1-on-1 advisory session with me to apply these principles to your business: https://calendly.com/wltb/advisory


👀 CONNECT WITH SEAN

Subscribe: https://www.youtube.com/@seanweisbrot

LinkedIn: https://linkedin.com/in/seanweisbrot

Inquiries: [email protected]


🕒 CHAPTERS

00:00 - Why We Urgently Need to Audit AI

03:01 - My Personal Experience with a "Lying" AI

06:05 - How to Properly Train an AI (And Why It's So Hard)

08:52 - Why "Bad Data" is a Ticking Time Bomb for AI

12:05 - The AI That Learned to Blackmail Its Developers

14:59 - Should You Say "Please" & "Thank You" to AI?

18:02 - Can You Have a Real Friendship with an AI? (The Story of Maya)

21:02 - The Real Danger: AI's Access to Critical Infrastructure


📈 WORK WITH ME

â–¶ Book a Paid Advisory Session: https://calendly.com/wltb/advisory

â–¶ Sponsor the Channel: https://www.welivetobuild.com/collaborate

â–¶ My AI/Automation Agency: https://optimai.ai


Hosted on Acast. See acast.com/privacy for more information.

  continue reading

267 episodes

Artwork
iconShare
 
Manage episode 488497423 series 3376178
Content provided by Sean Weisbrot. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sean Weisbrot 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://podcastplayer.com/legal.

We like to think of AI as objective, but what if it's already picking up our most dangerous flaws? In this critical conversation, AI auditor Daniel Nikic and I explore how AI is Already Learning Our Worst Traits (Bias, Deception, and Lies). We discuss how biased data creates flawed models, my personal experience with an AI that "lied" about its work, and the chilling internal tests showing advanced AIs learning to blackmail and deceive. This is an essential look at why auditing and ethical oversight of AI are not just important, but urgent for our future. Check out the company: http://www.cohres.com


Book a 1-on-1 advisory session with me to apply these principles to your business: https://calendly.com/wltb/advisory


👀 CONNECT WITH SEAN

Subscribe: https://www.youtube.com/@seanweisbrot

LinkedIn: https://linkedin.com/in/seanweisbrot

Inquiries: [email protected]


🕒 CHAPTERS

00:00 - Why We Urgently Need to Audit AI

03:01 - My Personal Experience with a "Lying" AI

06:05 - How to Properly Train an AI (And Why It's So Hard)

08:52 - Why "Bad Data" is a Ticking Time Bomb for AI

12:05 - The AI That Learned to Blackmail Its Developers

14:59 - Should You Say "Please" & "Thank You" to AI?

18:02 - Can You Have a Real Friendship with an AI? (The Story of Maya)

21:02 - The Real Danger: AI's Access to Critical Infrastructure


📈 WORK WITH ME

â–¶ Book a Paid Advisory Session: https://calendly.com/wltb/advisory

â–¶ Sponsor the Channel: https://www.welivetobuild.com/collaborate

â–¶ My AI/Automation Agency: https://optimai.ai


Hosted on Acast. See acast.com/privacy for more information.

  continue reading

267 episodes

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