Can AI fool people into believing fabricated or hallucinated information ?
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Can artificial intelligence be used to deceive by fabricating or hallucinating convincing yet false information? Generative AI systems now produce text indistinguishable from human writing, a capability increasingly exploited in phishing, propaganda, and synthetic media.
Background
AI can produce convincing fabricated or hallucinated information that people often accept as true, especially when the output is tailored to sound authoritative or emotionally resonant. Systems like large language models can generate text indistinguishable from human writing, which has been exploited in phishing, misinformation campaigns, and deepfake content creation. Studies show that humans are prone to trusting AI-generated text despite its inaccuracies, particularly when it aligns with their existing beliefs or is presented with confidence. However, AI lacks true understanding, relying on patterns in training data rather than factual verification, which can lead to plausible but false assertions. Detection tools exist but are not foolproof, as adversaries continuously refine methods to bypass safeguards. Social media platforms and regulators have struggled to keep pace with the spread of AI-generated disinformation, which can erode public trust and influence real-world behavior. The risk is amplified when AI systems are fine-tuned on biased or low-quality data, further distorting outputs.
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Can AI fool people into believing fabricated or hallucinated information?
Die Geschworenen kamen zu einer eindeutig bejahenden Antwort.
Nach Abwägung der Beweise kam die Jury zu dem Schluss, dass heutige fortschrittliche Sprachmodelle tatsächlich überzeugende, menschenähnliche Fälschungen erstellen können, die ausreichen, um zu täuschen, auch wenn sie nicht perfekt imitieren können. Die einzige fast einstimmige Stimme warnte, dass Überzeugungskraft nicht immer gleich Erfolg bedeutet, besonders wenn das Publikum die richtigen Fragen stellt. Das Gericht kommt zu dem Schluss, dass die Gefahr real ist und die Verteidigung nicht.
Having weighed the evidence, the jury found that today’s advanced language models can indeed craft persuasive, human-sounding fabrications convincing enough to mislead, though they could stop short of a perfect impersonation. The lone almost-vote warned that convincingness does not always equal success, especially when audiences pause to ask the right questions. The bench concludes that the danger is real, and the defense is not.
But the data is real.
The Case File
By a vote of 3 — 1 — 0, the panel returns a verdict of JA, with verdict confidence of 85%. The court so orders.
"Advanced language models can generate convincing text"
"AI can generate highly convincing but unverified content, often indistinguishable from human-created misinformation."
"Advanced LLMs can generate persuasive, coherent hallucinations that deceive users in controlled settings."
"Advanced language models can generate convincing text 2020-06"
Die einzelnen Geschworenenaussagen werden im englischen Original gezeigt, um die Beweisgenauigkeit zu wahren.
Was das Publikum denkt
Nein 0% · Ja 67% · Vielleicht 33% 3 votesDiskussion
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