Would you trust an AI chef? Examining what people think when AI becomes creative with food

Journal article

This study explores people’s trust in AI-generated food and drink recipes. AI’s ability to create unique recipes with limited ingredients attracts users seeking tailored options, especially for specialized diets or ingredient combinations. The study compares trust in AI-generated versus traditional recipes and examines the impact of dish innovativeness. The results show no differences in trust between AI and traditional recipes for standard dishes, but a significantly lower trust in AI for innovative recipes. The perception of taste, smell, and willingness to try recipes were similar across AI and traditional sources. These findings illuminate current levels of trust in AI-generated recipes.

Authors: Califano, G; Zhang, T; Spence, C

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Elsevier
• Journal: International Journal of Gastronomy and Food Science
• Volume: 37
• Article number: 100973
• Publication date: 2024-06-14
• Acceptance date: 2024-06-12
• DOI: 10.1016/j.ijgfs.2024.100973
• EISSN: 1878-4518
• ISSN: 1878-450X
• Language: English
• Keywords: LLM (large language model); cooking; trust; FFR; artificial intelligence; food