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2025
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| Online Access: | https://doi.org/10.5281/zenodo.17446705 |
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| _version_ | 1866901521508073472 |
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| author | Silvestro, Ivo |
| author_facet | Silvestro, Ivo |
| contents | <p>This article examines how generative artificial intelligence is transforming our relationship with the truth of images. The analysis begins by distinguishing two fundamental concepts of image truth: «truth as authenticity» (concerning the image as an object, its genuineness and provenance) and «propositional truth» (concerning the image as representation and expression of propositions). These concepts, while conceptually distinct, are often interconnected in complex ways within culturally determined codes that regulate image production and reception across different contexts. Although disinformation and misinformation did not originate with artificial intelligence, generative AI presents unprecedented challenges. It makes it easier to produce convincing false images without strong economic, political, or ideological motivations, effectively eliminating traditional arguments about the cost of falsification. The phenomenon of the «liar’s dividend» emerges as a significant concern, where widespread skepticism about image authenticity allows individuals to dismiss legitimate visual evidence by claiming it is AI-generated. This creates a situation where image interpretation becomes primarily dependent on institutional trust rather than visual analysis—a particularly problematic development in our polarized society where trust is unequally distributed across different groups and institutions.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17446705 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Ripensare il nostro rapporto con (la verità del)le immagini Silvestro, Ivo Generative AI image authenticity liar's dividend propositional truth visual disinformation <p>This article examines how generative artificial intelligence is transforming our relationship with the truth of images. The analysis begins by distinguishing two fundamental concepts of image truth: «truth as authenticity» (concerning the image as an object, its genuineness and provenance) and «propositional truth» (concerning the image as representation and expression of propositions). These concepts, while conceptually distinct, are often interconnected in complex ways within culturally determined codes that regulate image production and reception across different contexts. Although disinformation and misinformation did not originate with artificial intelligence, generative AI presents unprecedented challenges. It makes it easier to produce convincing false images without strong economic, political, or ideological motivations, effectively eliminating traditional arguments about the cost of falsification. The phenomenon of the «liar’s dividend» emerges as a significant concern, where widespread skepticism about image authenticity allows individuals to dismiss legitimate visual evidence by claiming it is AI-generated. This creates a situation where image interpretation becomes primarily dependent on institutional trust rather than visual analysis—a particularly problematic development in our polarized society where trust is unequally distributed across different groups and institutions.</p> |
| title | Ripensare il nostro rapporto con (la verità del)le immagini |
| topic | Generative AI image authenticity liar's dividend propositional truth visual disinformation |
| url | https://doi.org/10.5281/zenodo.17446705 |