Multidisciplinary Frontiers of Generative AI: State of the Art and Open Challenges
Category: Publication
Keywords: generative AI, synthetic data, interdisciplinary applications
This collection examines the state of the art and open challenges in generative AI across disciplines, highlighting technical advances, domain-specific applications (healthcare, finance, education, law, engineering, creative industries), ethical/regulatory concerns, and opportunities for cross-disciplinary innovation, synthetic data use, and human-AI collaboration.
Initiator(s):
Journal Applied Artificial Intelligence
Deadline: 31.07.2026
Language(s): English
Publication-Type: Article / Journal
Post created by: Virginia Signorini