TED Talks Daily How to govern AI — even if it's hard to predict | Helen Toner
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May 1, 2024 
Helen Toner, an AI policy researcher and former OpenAI board member, dives deep into the governance of artificial intelligence. She explains the challenge of predicting AI's future but stresses the importance of crafting smart policies now. The conversation highlights the complexities of defining AI and calls for inclusive participation in policy-making. Toner advocates for transparency and stricter regulations, warning that without public engagement, we risk falling victim to centralized control of these powerful technologies.
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AI's Unpredictability
- Experts and non-experts alike admit to not fully understanding AI.
- This lack of understanding makes predicting AI's future capabilities and governing its development challenging.
Defining Intelligence
- Defining intelligence is a major challenge in AI, unlike other technologies where the goal is clear (e.g., flight).
- Different experts have varying views on what constitutes intelligence, impacting expectations for AI's future.
ChatGPT's Impact
- The narrow vs. general AI distinction is challenged by models like ChatGPT.
- ChatGPT's general-purpose nature blurs the lines, highlighting our evolving understanding of AI capabilities.