Assessing ChatGPT’s Potential in HIV Prevention Communication: A Comprehensive Evaluation of Accuracy, Completeness, and Inclusivity

Andrea De Vito^*, Agnese Colpani, Giulia Moi, Sergio Babudieri, Andrea Calcagno, Valeria Calvino, Manuela Ceccarelli, Gianmaria Colpani, Gabriella d’Ettorre, Antonio Di Biagio, Massimo Farinella, Marco Falaguasta, Emanuele Focà, Giusi Giupponi, Adriano José Habed, Wigbertson Julian Isenia, Sergio Lo Caputo, Giulia Marchetti, Luca Modesti, Cristina MussiniGiuseppe Nunnari, Stefano Rusconi, Daria Russo, Annalisa Saracino, Pier Andrea Serra, Giordano Madeddu

^*Corresponding author for this work

ICON - Gender Studies
Afd Gender, Culture & Postcoloniality
LS Gender and Postcolonial Studies
LS Kunst, cultuur en diversiteit

University of Sassari
University of Turin
Associazione Nazionale per la Lotta contro l’AIDS (ANLAIDS)
Kore University of Enna
University of Rome La Sapienza
San Martino Hospital Genoa
Mario Mieli
Associazione Nazionale per la Lotta contro l’AIDS (ANLAIDS)
Brescia Civil Hospital
Lega italiana per la lotta contro l’AIDS (LILA)
University of Amsterdam
University of Foggia
University of Milan
Conigli Bianchi
University of Modena and Reggio Emilia
University of Catania
Network Persone Sieropositive (NPS)
University of Bari

Research output: Contribution to journal › Article › Academic › peer-review

Assessing ChatGPT’s Potential in HIV Prevention Communication: A Comprehensive Evaluation of Accuracy, Completeness, and Inclusivity

Fingerprint

Keyphrases

Computer Science

Arts and Humanities

Engineering

Agricultural and Biological Sciences

Earth and Planetary Sciences