Can we regulate a technology that even the experts do not fully understand?
In short: As artificial intelligence evolves unpredictably, Helen Toner explores how smart policy can shape our future. This talk examines the necessity of proactive governance despite the inherent uncertainty surrounding AI's trajectory.
Helen Toner, an AI policy researcher and former OpenAI board member, argues that the lack of total understanding among experts should not prevent effective regulation. She suggests that making strategic policy decisions now can influence the direction of the technology.
The discussion touches on the complexities of modern AI, including the distinctions between generative AI, large language models (LLMs), and foundation models. While LLMs—the engines behind tools like ChatGPT or Google Gemini—are often simplified as mere word-prediction chatbots, Toner suggests there is much more to the story.
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Sources
- Summary by Intellect · source: How to Govern AI — Even If It’s Hard to Predict | Helen Toner | TED
- Also: Helen Toner at TED2024: How to govern AI — even if it's hard to predict | Center for Security and Emerging Technology
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