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#11: Why we need AI guardrails - Liran hason
Manage episode 469646443 series 3601571
I sat down with Liran Hason, the VP of AI at Coralogix, to talk AI guardrails: what they look like, how they work and why we need them.
Episode links:
- AI has been around for decades: https://www.weforum.org/stories/2024/10/history-of-ai-artificial-intelligence/
- Deterministic VS probabilistic AI: https://towardsdatascience.com/deterministic-vs-probabilistic-deep-learning-5325769dc758/
- AI in the enterprise: https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/superagency-in-the-workplace-empowering-people-to-unlock-ais-full-potential-at-work
- Air Canada lawsuit: https://www.forbes.com/sites/marisagarcia/2024/02/19/what-air-canada-lost-in-remarkable-lying-ai-chatbot-case/
- Character AI sued: https://www.thedeepview.co/p/character-ai-sued-for-mental-health-decline-in-teenage-users-allegedly-encouraged-user-to-murder-his
- AI trade runs out of steam: https://www.thedeepview.co/p/nvidia-beats-expectations-but-wall-street-wanted-more
Outline
0:00 – Intro
1:57 – AI guardrails … in 2019
4:51 – How consumers view guardrails in AI
11:03 – Tempered excitement in the enterprise
13:05 – Why do we need guardrails
17:59 – The role of regulation
24:07 – Why don’t developers guardrail their systems?
28:30 – Detecting hallucinations with guardrail models
34:11 – Guardrailing AGI
41:33 – Is the AI revolution slowing?
44:18 – How guardrails enable a positive outcome
Get The Deep View — your daily source for in-depth, fact-based reporting on artificial intelligence — in your inbox every morning. Subscribe here! (https://www.thedeepview.co/subscribe)
Connect with us on X, TikTok and Instagram.
Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations, Ian Krietzberg, host and Editor-in-Chief at The Deep View, breaks it all down, cutting through the hype to make clear what's important and why you should care.
26 פרקים
Manage episode 469646443 series 3601571
I sat down with Liran Hason, the VP of AI at Coralogix, to talk AI guardrails: what they look like, how they work and why we need them.
Episode links:
- AI has been around for decades: https://www.weforum.org/stories/2024/10/history-of-ai-artificial-intelligence/
- Deterministic VS probabilistic AI: https://towardsdatascience.com/deterministic-vs-probabilistic-deep-learning-5325769dc758/
- AI in the enterprise: https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/superagency-in-the-workplace-empowering-people-to-unlock-ais-full-potential-at-work
- Air Canada lawsuit: https://www.forbes.com/sites/marisagarcia/2024/02/19/what-air-canada-lost-in-remarkable-lying-ai-chatbot-case/
- Character AI sued: https://www.thedeepview.co/p/character-ai-sued-for-mental-health-decline-in-teenage-users-allegedly-encouraged-user-to-murder-his
- AI trade runs out of steam: https://www.thedeepview.co/p/nvidia-beats-expectations-but-wall-street-wanted-more
Outline
0:00 – Intro
1:57 – AI guardrails … in 2019
4:51 – How consumers view guardrails in AI
11:03 – Tempered excitement in the enterprise
13:05 – Why do we need guardrails
17:59 – The role of regulation
24:07 – Why don’t developers guardrail their systems?
28:30 – Detecting hallucinations with guardrail models
34:11 – Guardrailing AGI
41:33 – Is the AI revolution slowing?
44:18 – How guardrails enable a positive outcome
Get The Deep View — your daily source for in-depth, fact-based reporting on artificial intelligence — in your inbox every morning. Subscribe here! (https://www.thedeepview.co/subscribe)
Connect with us on X, TikTok and Instagram.
Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations, Ian Krietzberg, host and Editor-in-Chief at The Deep View, breaks it all down, cutting through the hype to make clear what's important and why you should care.
26 פרקים
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