

How to govern AI — even if it's hard to predict | Helen Toner
27 snips Jul 26, 2024
Helen Toner discusses the challenges of governing AI despite its unpredictability. She emphasizes the need for smart policies to shape a favorable future. The conversation explores the complexities of understanding AI and the importance of regulating it. Insights are shared on fostering trust and transparency in AI systems.
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AI's Unpredictability
- AI experts admit a lack of full understanding of how AI works, hindering predictions about its future capabilities.
- This uncertainty poses a significant challenge for governing AI effectively.
Defining AI Intelligence
- Defining intelligence in AI remains a challenge, leading to differing expectations about its trajectory.
- The narrow vs. general AI categorization is now inadequate, as demonstrated by systems like ChatGPT.
The Black Box of AI
- Deep neural networks' complexity, with vast numbers of calculations, makes understanding their internal workings difficult.
- The challenge lies in the sheer volume of numerical interactions within these networks.