The Black Box Dilemma: Who Controls What AI Can Say? With CTGT’s Founder, Cyril Gorlla
Cyril Gorlla, Founder & CEO of CTGT, discusses; the challenges of probabilistic vs deterministic AI, AI errors, risks and the effectiveness of guardrails, lessons from the Hugging Face incident, the risks of AI integration across critical industries, the growing US–China divide in AI development, AI oversight: Who watches the watchmen?, Is intelligence becoming a commodity?
If you are a West Coast based tech start-up, profiled in the Wall Street Journal, Forbes, and Business Insider, are asked to present at JPMorgan's Investor Summit alongside Jamie Dimon, are backed by Google's AI fund, and have a mission to help organizations detect and correct biased or unreliable outputs from AI models and you are not yet 24, something’s going on!
So today the Money Maze meets its youngest guest, Cyril Gorlla, founder of CTGT. Joining as a co-interviewer is JP Morgan Asset Management’s Head of Investment Platform, Kristian West.
In an extremely complex area, Cyril discusses 8 key items;
- What is the problem with LLMs being probabilistic rather than deterministic?
- Why can't an AI reliably explain why it produced a particular answer?
- When does an AI mistake matter and how good are the guardrails?
- What is the real lesson from the Hugging Face incident?
- As AI becomes embedded in banks, insurers, healthcare systems and governments, what should worry us?
- There is a growing geopolitical divide in AI development between the US and China. Weigh the implications.
- “Quis custodiet ipsos custodes? Who watches the watchmen?"
- Is intelligence becoming a commodity?
Never miss an episode
Be the first to listen to new episodes and receive a breakdown of the key points discussed.
_result.webp)
_result-p-500.webp)
.png)
.avif)
.avif)
.png)
.avif)
