About this Research Topic
As AI evolves, it brings the power to produce content that challenges our traditional understanding of authenticity. With its potential to revolutionize industries, it simultaneously opens doors to misinformation campaigns, disrupting societal trust in digital media. On the other hand, blockchain, known for its encryption, decentralization, and provenance features, presents an opportunity to mitigate the challenges posed by GenAI. The transparency and verification capabilities of blockchain offer promising avenues for ensuring digital content's authenticity.
The Research Topic aims to unravel the challenges and opportunities at the intersection of AI, with an emphasis on Generative AI and blockchain technologies. We aim to address the pressing issue of distinguishing real from AI-generated content, deep fakes, and disinformation in the digital era and the potential role blockchain can play in enhancing trust and authenticity. By bridging these two transformative technologies, we seek innovative solutions and interdisciplinary perspectives that could shape the future of digital media, content authentication, and societal trust.
We invite authors to delve into the interdisciplinary implications of combining AI with blockchain technologies. Contributions can address themes like the ethical implications of deep fakes, strategies for leveraging blockchain's provenance features for content authentication, creating decentralized AI marketplaces, and promoting transparency in AI content generation. Collaborative research is encouraged, combining insights from artificial intelligence, blockchain, media, ethics, sociology, education, business, and beyond.
We accept original research papers, comprehensive review articles, perspectives, commentaries, and brief research reports. Both empirical and theoretical contributions are welcome.
The Research Topic aims to unravel the challenges and opportunities at the intersection of AI, with an emphasis on Generative AI and blockchain technologies. We aim to address the pressing issue of distinguishing real from AI-generated content, deep fakes, and disinformation in the digital era and the potential role blockchain can play in enhancing trust and authenticity. By bridging these two transformative technologies, we seek innovative solutions and interdisciplinary perspectives that could shape the future of digital media, content authentication, and societal trust.
We invite authors to delve into the interdisciplinary implications of combining AI with blockchain technologies. Contributions can address themes like the ethical implications of deep fakes, strategies for leveraging blockchain's provenance features for content authentication, creating decentralized AI marketplaces, and promoting transparency in AI content generation. Collaborative research is encouraged, combining insights from artificial intelligence, blockchain, media, ethics, sociology, education, business, and beyond.
We accept original research papers, comprehensive review articles, perspectives, commentaries, and brief research reports. Both empirical and theoretical contributions are welcome.
Keywords: Blockchain, AI, Deep Fakes, Authentication, Trust
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.