TED Talks Daily
How to govern AI — even if it's hard to predict | Helen Toner
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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Quick takeaways
- Governance of AI requires adaptive policy-making to navigate its unpredictable evolution.
- Transparency and engagement are crucial for steering AI towards positive societal impacts.
Deep dives
Understanding the Complexity of Artificial Intelligence
AI, a revolutionary technology, poses challenges due to its complexity. Experts admit to the limitations in their understanding of AI's internal workings, hindering predictions of its capabilities. The lack of consensus on what defines intelligence further complicates AI development, leading to diverse expectations. This ambiguity extends to distinguishing between narrow and general AI, adding uncertainty to the technology's future implications.
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