| Téléchargement | - Voir la version de l’auteur : A friendly face: do text-to-image systems rely on stereotypes when the input is under-specified? (PDF, 6.7 Mio)
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| Auteur | Rechercher : Fraser, Kathleen C.1; Rechercher : Nejadgholi, Isar1; Rechercher : Kiritchenko, Svetlana1 |
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| Affiliation | - Conseil national de recherches du Canada. Technologies numériques
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| Format | Texte, Article |
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| Conférence | The AAAI-23 Workshop on Creative AI Across Modalities, February 13, 2023, Washington D.C., USA |
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| Description physique | 17 p. |
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| Résumé | As text-to-image systems continue to grow in popularity with the general public, questions have arisen about bias and diversity in the generated images. Here, we investigate properties of images generated in response to prompts which are visually under- specified, but contain salient social attributes (e.g., ‘a portrait of a threatening person’ versus ‘a portrait of a friendly person’). Grounding our work in social cognition theory, we find that in many cases, images contain similar demographic biases to those reported in the stereotype literature. However, trends are inconsistent across different models and further investigation is warranted. |
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| Date de publication | 2023-02-13 |
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| Maison d’édition | Association for the Advancement of Artificial Intelligence |
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| Autre version | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Non |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | e836fa19-5f19-4058-81f1-28e31e272ee0 |
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| Enregistrement créé | 2023-09-18 |
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| Enregistrement modifié | 2023-09-20 |
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