About this Research Topic
The intersection of artificial intelligence (AI) and blockchain technology represents a burgeoning field with significant implications for digital media authenticity. As AI, particularly Generative AI, continues to evolve, it brings forth the ability to create content that challenges our traditional understanding of what is real. This evolution has led to the proliferation of misinformation campaigns and deep fakes, which threaten societal trust in digital media. Recent studies have highlighted the potential of blockchain technology, known for its encryption, decentralization, and provenance features, to address these challenges. However, while blockchain offers promising avenues for ensuring the authenticity of digital content, there remains a gap in comprehensive research exploring how these two technologies can be effectively integrated to mitigate the risks posed by AI-generated content.
This Research Topic aims to unravel the challenges and opportunities at the intersection of AI, with an emphasis on Generative AI and blockchain technologies. We seek to address the pressing issue of distinguishing real from AI-generated content, deep fakes, and disinformation in the digital era. Additionally, we aim to explore the potential role of blockchain in enhancing trust and authenticity in digital media. By bridging these two transformative technologies, we hope to uncover innovative solutions and interdisciplinary perspectives that could shape the future of digital media, content authentication, and societal trust.
To gather further insights into the boundaries of this research, we welcome articles addressing, but not limited to, the following themes:
- Ethical implications of deep fakes and AI-generated content
- Strategies for leveraging blockchain's provenance features for content authentication
- Creating decentralized AI marketplaces
- Promoting transparency in AI content generation
- Interdisciplinary approaches combining AI, blockchain, media, ethics, sociology, education, and business
- Case studies on the implementation of blockchain for digital content verification
- Policy and regulatory frameworks for AI and blockchain integration in digital media
We accept original research papers, comprehensive review articles, perspectives, commentaries, and brief research reports. Both empirical and theoretical contributions are welcome.
This Research Topic aims to unravel the challenges and opportunities at the intersection of AI, with an emphasis on Generative AI and blockchain technologies. We seek to address the pressing issue of distinguishing real from AI-generated content, deep fakes, and disinformation in the digital era. Additionally, we aim to explore the potential role of blockchain in enhancing trust and authenticity in digital media. By bridging these two transformative technologies, we hope to uncover innovative solutions and interdisciplinary perspectives that could shape the future of digital media, content authentication, and societal trust.
To gather further insights into the boundaries of this research, we welcome articles addressing, but not limited to, the following themes:
- Ethical implications of deep fakes and AI-generated content
- Strategies for leveraging blockchain's provenance features for content authentication
- Creating decentralized AI marketplaces
- Promoting transparency in AI content generation
- Interdisciplinary approaches combining AI, blockchain, media, ethics, sociology, education, and business
- Case studies on the implementation of blockchain for digital content verification
- Policy and regulatory frameworks for AI and blockchain integration in digital media
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.
