AI-TRUST: A transparency protocol for Generative AI-assisted research AI-TRUST: 生成式人工智能辅助研究的透明度协议
Service Industries Journal, 2026 (SSCI, Scopus)
- Yayın Türü: Makale / Tam Makale
- Basım Tarihi: 2026
- Doi Numarası: 10.1080/02642069.2026.2727027
- Dergi Adı: Service Industries Journal
- Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus, IBZ Online, Periodicals Index Online, ABI/INFORM, Geobase, Hospitality & Tourism Complete, Hospitality & Tourism Index, Business Source Ultimate (EBSCO), Sociology Source Ultimate (EBSCO)
- Anahtar Kelimeler: AI-TRUST protocol, Generative artificial intelligence, large language models, systematic literature review, transparency
- Anadolu Üniversitesi Adresli: Evet
Özet
Generative artificial intelligence (GenAI) is transforming research, yet systematic evidence on disclosure remains limited. To address this gap, we systematically reviewed 257 articles published between 2023 and 2026 across 20 journals spanning general service management, hospitality, tourism and travel, retailing and consumer services, marketing, and business. GenAI disclosure quality was assessed across six dimensions: location of statement, tool specificity, purpose of use, prompt disclosure, human verification, and limitation acknowledgment. Findings revealed substantial weaknesses, particularly in the disclosure of prompts, verification procedures, and GenAI-specific limitations. Grounded in signaling theory, we propose AI-TRUST, a transparency protocol consisting of five core dimensions: traceability/auditability (T), reproducibility (R), understanding and verification (U), specification (S), and threat and limitation (T). AI-TRUST integrates an empirically derived six-variable transparency score with proportional reporting guidance to evaluate disclosure quality and strengthen procedural accountability.