What happens when AI starts improving other AI models without human instructions?
Self-improving AI sounds like an extraordinary technological breakthrough.
But it also raises a difficult question.
Who controls the system when AI begins modifying itself?
Professor Damian Borth discusses the possibilities and risks of recursive AI self-improvement.
Researchers are exploring ways for neural networks to analyze, modify, and improve other neural networks.
With human oversight, these capabilities could accelerate AI development.
Without appropriate safeguards, increasingly autonomous systems could become harder to monitor and control.
Damian emphasizes the importance of AI governance, monitoring tools, and maintaining human oversight.
The technology is promising, but its safety cannot be an afterthought.
Would you trust an AI system that could improve itself?
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