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Protecting Against AI Hallucinations, with Matthew Martin
Manage episode 377727805 series 3355619
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Matthew Martin is a seasoned cybersecurity leader with over a decade of experience in the financial services industry. Matthew is currently focused on advising and consulting as a Fractional CISO. Most recently, he was Deputy CISO at LPL Financial. He holds advisory positions on boards of Ironscales, Trustwise, Stealth and Surge Ventures. Today we discuss AI hallucinations and the practical steps any organization could take before going down the path of AI adoption.
Conversation Highlights:
[01:04] Discussing AI article
[03:28] Introducing our guest, Matthew Martin
[03:58] Martin's introduction to security
[05:11] Why Martin chose security
[07:09] How the tech landscape has changed
[09:33] Discussing Generative AI
[11:55] The sunk cost fallacy and AI
[13:47] Generative AI use cases
[16:49] Insuring responsible use of AI
[18:25] Defining hallucinations
[20:26] Risk averse AI technology
[25:52] AI advice for students
[28:21] Discussing how Gen AI works
[35:13] Martin's message to the world
Notable Quotes:
"Don't chase the hype cycle, it all changes so fast." Matthew Martin [27:35]
"Figure out what you want to do, what you want to be, and don't stop until you get it." Matthew Martin [35:53]
Connect With Matthew Martin
LinkedIn: https://www.linkedin.com/in/mattmartin/
The IT Matters Podcast is about IT matters and matters pertaining to IT.
Capítulos
1. Discussing AI article (00:01:04)
2. Introducing our guest, Matthew Martin (00:03:28)
3. Martin's introduction to security (00:03:58)
4. Why Martin chose security (00:05:11)
5. How the tech landscape has changed (00:07:09)
6. Discussing Generative AI (00:09:33)
7. The sunk cost fallacy and AI (00:11:55)
8. Generative AI use cases (00:13:47)
9. Insuring responsible use of AI (00:16:49)
10. Defining hallucinations (00:18:25)
11. Risk averse AI technology (00:20:26)
12. AI advice for students (00:25:52)
13. Discussing how Gen AI works (00:28:21)
14. Martin's message to the world (00:35:13)
29 episódios
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