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专栏作家:法律“数字垃圾”正在破坏人工智能的承诺

专栏作家马克·佩恩认为,尽管人工智能承诺简化任务,但过多的法律和监管“数字垃圾”正在浪费全球数十亿小时。他批评了常见的侵入性Cookie同意横幅、过于复杂的双因素身份验证和验证码等问题,并建议使用通用仪表板和Apple的Passkeys等生物识别系统作为解决方案。佩恩还指出了创建新账户、填写服务条款以及处理无休止的法律协议所浪费的时间,并提出由人工智能驱动的自动填充和简明扼要的摘要作为潜在的补救措施。 AI

影响 建议人工智能可以自动化表单填写并简化用户同意流程,从而可能节省大量时间。

排序理由 一位知名人士的观点文章,讨论了监管对用户体验的影响。

在 Fortune 阅读 →

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

专栏作家:法律“数字垃圾”正在破坏人工智能的承诺

本文如何被排名

Signal score
4 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
一位知名人士的观点文章,讨论了监管对用户体验的影响。
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
opinion, product
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]

  1. Fortune TIER_1 English(EN) · Mark Penn ·

    Mark Penn:如何节省十亿五千万小时

    AI promises convenience, but the internet is still clogged with cookie banners, CAPTCHAs, passcodes and unreadable fine print. It’s time to replace it.