English(EN) I’ve been trying to avoid the use of anthropomorphic terms like ‘neural networks’, ‘machine learning’, ‘image recognition’, etc. when teaching philosophy of min

哲学家避免使用人工智能术语以遏制吹捧

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-11 11:49

心智哲学讲师 Keith Wilson 在讨论人工智能时，有意识地避免使用拟人化术语。他发现，在不使用此类语言的情况下，很难教授神经网络和机器学习等概念。Wilson 认为，通过避免使用这些术语，人工智能支持者提出的夸大其词的说法就不那么令人信服了。 AI

影响这一评论表明，用于描述人工智能的语言会影响公众对其能力的看法。

排序理由由一位知名的、具名人士撰写的评论文章，讨论人工智能术语。

在 Mastodon — fosstodon.org 阅读 →

观点

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

本文如何被排名

Signal score: 1 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Commentary; 由一位知名的、具名人士撰写的评论文章，讨论人工智能术语。
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: 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: Standard; On-topic for AI-industry coverage; kept in the public index.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-11-11 11:49

我一直在避免在教授哲学时使用‘神经网络’、‘机器学习’、‘图像识别’等拟人化术语

I’ve been trying to avoid the use of anthropomorphic terms like ‘neural networks’, ‘machine learning’, ‘image recognition’, etc. when teaching philosophy of mind and AI* this term. It’s surprisingly hard and makes the exaggerated claims of #AI boosters much less plausible.

本文如何被排名

报道来源 [1]

我一直在避免在教授哲学时使用‘神经网络’、‘机器学习’、‘图像识别’等拟人化术语

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