Safety in AI
The discussion highlights the parallels between safety critical systems, like those used in aviation, and the challenges faced by AI, particularly neural networks. Emphasizing the need for a well-defined "envelope" of operations, it points to the importance of deterministic behavior in AI to ensure safety. As AI continues to evolve, understanding and managing its unpredictability will be crucial for its integration into real-world applications.In this clip
From this podcast
Eye on AI
The Future of Large Language Models in AI with Mathew Lodge
Related Questions
Why is caution needed in AI research as discussed in the episode "AI Sentience, Agency and Catastrophic Risk with Yoshua Bengio - 654" and the clip "AI Safety Challenges"?
Why is caution needed in AI research as discussed in the episode AI Sentience, Agency and Catastrophic Risk with Yoshua Bengio - 654 and the clip AI Safety Challenges?
Why is caution needed in AI research as discussed in the episode "AI Sentience, Agency and Catastrophic Risk with Yoshua Bengio - 654" and the clip "AI Safety Concerns"?