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Ethos Ex Machina: How AI Creates Trust Without Truth
Manage episode 507359901 series 3474148
Inhalt bereitgestellt von HackerNoon. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von HackerNoon oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.
This story was originally published on HackerNoon at: https://hackernoon.com/ethos-ex-machina-how-ai-creates-trust-without-truth.
AI does not need truth to sound credible. Discover how syntax tricks us into trusting unverified outputs across healthcare, law, and policy.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #machine-learning, #technology, #artificial-intelligence, #llm, #computer-science, #computational-linguistics, #ethics, #legal, and more.
This story was written by: @hacker91808649. Learn more about this writer by checking @hacker91808649's about page, and for more stories, please visit hackernoon.com.
AI-generated texts gain trust not through evidence but through structure. Passive voice, fake balance, and false references simulate authority. We must audit how AI speaks, not just what it says, or institutions will mistake form for truth.
338 Episoden
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Manage episode 507359901 series 3474148
Inhalt bereitgestellt von HackerNoon. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von HackerNoon oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.
This story was originally published on HackerNoon at: https://hackernoon.com/ethos-ex-machina-how-ai-creates-trust-without-truth.
AI does not need truth to sound credible. Discover how syntax tricks us into trusting unverified outputs across healthcare, law, and policy.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #machine-learning, #technology, #artificial-intelligence, #llm, #computer-science, #computational-linguistics, #ethics, #legal, and more.
This story was written by: @hacker91808649. Learn more about this writer by checking @hacker91808649's about page, and for more stories, please visit hackernoon.com.
AI-generated texts gain trust not through evidence but through structure. Passive voice, fake balance, and false references simulate authority. We must audit how AI speaks, not just what it says, or institutions will mistake form for truth.
338 Episoden
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