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English(EN) How do we make uncertainty usable?

AI研究人员评估高灭绝风险,呼吁开发可用的不确定性指标

Yoshua Bengio和Geoffrey Hinton等顶尖AI研究人员认为,高级AI导致人类灭绝或极端失能的可能性很高,达到10%或更高。尽管如此,全球对此类警告的响应却明显不足。一种提议的解决方案是开发更正式、更量化的方法来评估这些主观概率,并将其与金融市场如何将不确定的未来风险纳入资产定价进行类比。 AI

影响 强调需要更好的量化框架来应对高级AI带来的生存风险,可能影响未来的安全研究方向。

排序理由 观点文章,讨论AI研究人员对生存风险的主观概率评估及其影响。

在 LessWrong (AI tag) 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

AI研究人员评估高灭绝风险,呼吁开发可用的不确定性指标

本文如何被排名

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
观点文章,讨论AI研究人员对生存风险的主观概率评估及其影响。
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
safety, opinion
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
97 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

  1. LessWrong (AI tag) TIER_1 English(EN) · KatjaGrace ·

    如何让不确定性变得可用?

    <p><a href="https://arxiv.org/html/2401.02843v1">Most AI researchers</a> put at least 5% on advanced AI causing human extinction or extreme disempowerment. The <a href="https://adscientificindex.com/citation-ranking/">most cited</a> scientists of all time are Yoshua Bengio and Ge…