To Authenticity, and Beyond! Building Safe and Fair Generative AI Upon the Three Pillars of Provenance
Provenance facts, such as who made an image and how, can provide valuable context for users to make trust decisions about visual content. Against a backdrop of inexorable progress in generative AI for computer graphics, over two billion people will vote in public elections this year. Emerging standa...
| Publié dans: | IEEE computer graphics and applications. - 1991. - 44(2024), 3 vom: 01. Mai, Seite 82-90 |
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| Auteur principal: | |
| Autres auteurs: | , |
| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2024
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| Accès à la collection: | IEEE computer graphics and applications |
| Sujets: | Journal Article Research Support, Non-U.S. Gov't |
| Accès en ligne |
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