TY - GEN
T1 - GODDS
T2 - 39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025
AU - Postiglione, Marco
AU - Baldwin, Julian
AU - Denisenko, Natalia
AU - Fosdick, Luke
AU - Gao, Chongyang
AU - Gortner, Isabel
AU - Pulice, Chiara
AU - Kraus, Sarit
AU - Subrahmanian, V. S.
N1 - Publisher Copyright: Copyright © 2025, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2025/4/11
Y1 - 2025/4/11
N2 - Fake audios, videos, and images are now proliferating widely. We developed GODDS, the Global Online Deepfake Detection system, for a specific user community, namely journalists. GODDS leverages an ensemble of deepfake detectors, along with a human in the loop, to provide a deepfake report on each submitted video/image/audio or VIA artifact submitted to the system. To date, VIA artifacts submitted by over 50 journalists from outlets such as the New York Times, Wall Street Journal, CNN, Agence France Press, and others have been run through GODDS. Unlike other deepfake detection systems, GODDS doesn't just focus on the submitted artifact but automatically derives context about the subject of the VIA artifact. Because context is not always available on all subjects, GODDS focuses on alleged deepfakes of high profile individuals, organizations, and events, where there is likely to be considerable contextual information.
AB - Fake audios, videos, and images are now proliferating widely. We developed GODDS, the Global Online Deepfake Detection system, for a specific user community, namely journalists. GODDS leverages an ensemble of deepfake detectors, along with a human in the loop, to provide a deepfake report on each submitted video/image/audio or VIA artifact submitted to the system. To date, VIA artifacts submitted by over 50 journalists from outlets such as the New York Times, Wall Street Journal, CNN, Agence France Press, and others have been run through GODDS. Unlike other deepfake detection systems, GODDS doesn't just focus on the submitted artifact but automatically derives context about the subject of the VIA artifact. Because context is not always available on all subjects, GODDS focuses on alleged deepfakes of high profile individuals, organizations, and events, where there is likely to be considerable contextual information.
UR - http://www.scopus.com/inward/record.url?scp=105003903561&partnerID=8YFLogxK
U2 - 10.1609/aaai.v39i28.35367
DO - 10.1609/aaai.v39i28.35367
M3 - منشور من مؤتمر
T3 - Proceedings of the AAAI Conference on Artificial Intelligence
SP - 29685
EP - 29687
BT - Special Track on AI Alignment
A2 - Walsh, Toby
A2 - Shah, Julie
A2 - Kolter, Zico
Y2 - 25 February 2025 through 4 March 2025
ER -