Your browser doesn't support javascript.
loading
On the advantages of using AI-generated images of filler faces for creating fair lineups.
Bell, Raoul; Menne, Nicola Marie; Mayer, Carolin; Buchner, Axel.
Affiliation
  • Bell R; Department of Experimental Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany. raoul.bell@hhu.de.
  • Menne NM; Department of Experimental Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
  • Mayer C; Department of Experimental Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
  • Buchner A; Department of Experimental Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Sci Rep ; 14(1): 12304, 2024 05 29.
Article de En | MEDLINE | ID: mdl-38811714
ABSTRACT
Recent advances in artificial intelligence (AI) enable the generation of realistic facial images that can be used in police lineups. The use of AI image generation offers pragmatic advantages in that it allows practitioners to generate filler images directly from the description of the culprit using text-to-image generation, avoids the violation of identity rights of natural persons who are not suspects and eliminates the constraints of being bound to a database with a limited set of photographs. However, the risk exists that using AI-generated filler images provokes more biased selection of the suspect if eyewitnesses are able to distinguish AI-generated filler images from the photograph of the suspect's face. Using a model-based analysis, we compared biased suspect selection directly between lineups with AI-generated filler images and lineups with database-derived filler photographs. The results show that the lineups with AI-generated filler images were perfectly fair and, in fact, led to less biased suspect selection than the lineups with database-derived filler photographs used in previous experiments. These results are encouraging with regard to the potential of AI image generation for constructing fair lineups which should inspire more systematic research on the feasibility of adopting AI technology in forensic settings.
Sujet(s)
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Intelligence artificielle / Face Limites: Female / Humans Langue: En Journal: Sci Rep Année: 2024 Type de document: Article Pays d'affiliation: Allemagne Pays de publication: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Intelligence artificielle / Face Limites: Female / Humans Langue: En Journal: Sci Rep Année: 2024 Type de document: Article Pays d'affiliation: Allemagne Pays de publication: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM