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How the internet can rebuild trust

Algorithms and generative AI models that decide what billions of users see should be transparent
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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"}

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