Machine conviction: Can we control what AI make us believe?
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Redalyc
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| Format: | Artículo científico |
| Sprache: | en |
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Universitat de València
2025
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| _version_ | 1876456340343226368 |
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| author | Manuel Cebrián |
| author_facet | Manuel Cebrián |
| contents | Machine conviction: Can we control what AI make us believe? Manuel Cebrián Comunicación autonomy Persuasion AI regulation large language models algorithmic manipulation Large language models (LLM) are not just writing poems and answering trivia anymore. They are becoming master persuaders, capable of crafting arguments that can change our minds on everything from political views to health choices. This article explores the rapidly evolving science of artificial intelligence (AI) persuasion, revealing how these digital influencers work, how effective they are compared to humans, and the profound ethical and societal implications of this new technology. We delve into the strategies LLMs use, the challenges of detecting AI-generated influence, and the urgent need for regulations to ensure this powerful technology is used responsibly. 2025 artículo científico 2174-3487 https://www.redalyc.org/articulo.oa?id=511783270004 https://www.redalyc.org/journal/5117/511783270004/ https://www.redalyc.org/journal/5117/511783270004/html/ https://www.redalyc.org/journal/5117/511783270004/511783270004.epub https://www.redalyc.org/journal/5117/511783270004/movil 10.7203/metode.15.30429 en http://www.redalyc.org/revista.oa?id=5117 Mètode Science Studies Journal application/pdf Universitat de València Mètode Science Studies Journal (España) Num.7 Vol.15 |
| format | Artículo científico |
| id | redalyc_511783270004 |
| institution | Redalyc |
| language | en |
| publishDate | 2025 |
| publisher | Universitat de València |
| spellingShingle | Machine conviction: Can we control what AI make us believe? Manuel Cebrián Comunicación autonomy Persuasion AI regulation large language models algorithmic manipulation Machine conviction: Can we control what AI make us believe? Manuel Cebrián Comunicación autonomy Persuasion AI regulation large language models algorithmic manipulation Large language models (LLM) are not just writing poems and answering trivia anymore. They are becoming master persuaders, capable of crafting arguments that can change our minds on everything from political views to health choices. This article explores the rapidly evolving science of artificial intelligence (AI) persuasion, revealing how these digital influencers work, how effective they are compared to humans, and the profound ethical and societal implications of this new technology. We delve into the strategies LLMs use, the challenges of detecting AI-generated influence, and the urgent need for regulations to ensure this powerful technology is used responsibly. 2025 artículo científico 2174-3487 https://www.redalyc.org/articulo.oa?id=511783270004 https://www.redalyc.org/journal/5117/511783270004/ https://www.redalyc.org/journal/5117/511783270004/html/ https://www.redalyc.org/journal/5117/511783270004/511783270004.epub https://www.redalyc.org/journal/5117/511783270004/movil 10.7203/metode.15.30429 en http://www.redalyc.org/revista.oa?id=5117 Mètode Science Studies Journal application/pdf Universitat de València Mètode Science Studies Journal (España) Num.7 Vol.15 |
| title | Machine conviction: Can we control what AI make us believe? |
| topic | Comunicación autonomy Persuasion AI regulation large language models algorithmic manipulation |
| url | https://www.redalyc.org/articulo.oa?id=511783270004 https://www.redalyc.org/journal/5117/511783270004/ https://www.redalyc.org/journal/5117/511783270004/html/ https://www.redalyc.org/journal/5117/511783270004/511783270004.epub https://www.redalyc.org/journal/5117/511783270004/movil |