How the internet can rebuild trust - FT中文网
登录×
电子邮件/用户名
密码
记住我
请输入邮箱和密码进行绑定操作:
请输入手机号码,通过短信验证(目前仅支持中国大陆地区的手机号):
请您阅读我们的用户注册协议隐私权保护政策,点击下方按钮即视为您接受。
人工智能

How the internet can rebuild trust

Algorithms and generative AI models that decide what billions of users see should be transparent
00:00

{"text":[[{"start":null,"text":"

As AI companies fight for dominance, the temptation to embed bias — commercial, political or cultural — into training data will be immense
"}],[{"start":5.8,"text":"The writer is co-founder of Wikipedia and author of ‘The Seven Rules of Trust’"}],[{"start":11.29,"text":"When I founded Wikipedia in 2001, pioneers of the internet were excited by its promise to give the world access to truth and connection."}],[{"start":22.18,"text":"Two decades later, that optimism has curdled into cynicism. We scroll through feeds serving up news we no longer believe, interact with bots we cannot identify and brace for the next synthetic scandal created by fake images from artificial intelligence."}],[{"start":42.06,"text":"Before the web can move forward, it must remember how it earned trust in the first place."}],[{"start":48.49,"text":"The defining difference between web 1.0 and the platforms that dominate today is not technological sophistication but moral architecture. Early online communities were transparent about process and purpose. They exposed how information was created, corrected and shared. That visibility generated accountability. People could see how the system worked and participate in fixing its mistakes. Trust emerged not from perfection (there was still plenty of online trolling, flame wars and toxicity), but from openness."}],[{"start":84.49000000000001,"text":"Today’s digital landscape reverses that logic. Recommendation algorithms and generative AI models decide what billions of users see, yet their workings remain opaque. When platforms insist their systems are too complex to explain, users are asked to substitute faith for understanding."}],[{"start":105.78,"text":"AI intensifies the problem. Large language models can produce fluent paragraphs and convincing deepfakes. The tools that promised to democratise knowledge now threaten to make knowledge unrecognisable. If everything can be fabricated, the distinction between truth and illusion becomes a matter of persuasion."}],[{"start":127.36,"text":"Re-establishing trust in this environment requires more than fact-checking or content moderation. It requires structural transparency. Every platform that mediates information should make provenance visible: where data originated, how it was processed, and what uncertainty surrounds it. Think of it as nutritional labelling for information. Without it, citizens cannot make informed judgments and democracies cannot function."}],[{"start":156.64,"text":"Equally important is independence. As AI companies fight for dominance, the temptation to embed bias — commercial, political or cultural — into training data will be immense. Guardrails must ensure the entities curating public knowledge are accountable to the public, not just investors."}],[{"start":177.42999999999998,"text":"And we must revive civility too. Some of the best early online spaces relied on norms that valued reasoned argument over insult. They were imperfect but self-correcting because participants felt a duty to the collective project. Today’s social platforms monetise outrage. Restoring trust means designing systems that reward good-faith discourse — through visibility algorithms, community-based moderation, or friction that forces reflection before reposting."}],[{"start":212.55999999999997,"text":"Governments have a role to play but regulation alone cannot rebuild trust. It has to be observed in practice. Platforms should disclose not only how their algorithms work but also when they fail. AI developers should publish dataset sources and error rates."}],[{"start":232.7,"text":"The challenge of our time is not that information is scarce but that authenticity is. Important aspects of the early internet succeeded because people could trace what they read to another human being, even if the other human being was operating behind a pseudonym. The new internet must restore that chain of custody."}],[{"start":255.83999999999997,"text":"We are entering an era when machines can mimic any voice and invent any image. If we want truth to survive that onslaught, we must embed transparency, independence and empathy into the digital architecture itself. The early days of the web showed it could be done. The question is whether we still have the will to do it again."}],[{"start":284.46999999999997,"text":""}]],"url":"https://audio.ftcn.net.cn/album/a_1764835851_6780.mp3"}

版权声明:本文版权归FT中文网所有,未经允许任何单位或个人不得转载,复制或以任何其他方式使用本文全部或部分,侵权必究。

基尔•斯塔默接近辞去英国首相职务

此举可能使安迪•伯纳姆成为英国自脱欧以来十年间的第七位领导人。

安迪•伯纳姆补选获胜会给英国国债带来压力吗?

美联储偏好的通胀指标在上升吗?德国是否出现了初步复苏的迹象?

美伊关键会谈在瑞士开启

为实现永久停战而进行的谈判,初期将聚焦于黎巴嫩境内以色列与黎巴嫩真主党之间的冲突。

部分大臣认为斯塔默可能下周宣布辞职

安迪•伯纳姆在补选中获胜后,英国首相面临巨大压力,被要求明确其离任时间表。

普京的战争机器在无人机时代步履维艰

乌克兰的创新正在侵蚀俄罗斯的人力优势。

世界杯赛场上“小球队”抢尽风头

从佛得角到新西兰,排名靠后的球队正在拼尽全力,并收获越来越多的球迷。
设置字号×
最小
较小
默认
较大
最大
分享×