About this Research Topic
This Research Topic invites researchers to explore the evolving relationship between AI and digital humanities. It serves as a platform for showcasing innovative research that leverages AI to open new avenues of inquiry in humanities disciplines. Moreover, it encourages a reflective conversation about the impact of integrating AI into the humanities to engage in a constructive dialogue about the future direction of the humanities in the AI era. In particular, the goals of this Research Topic are:
1) Enhancing algorithmic sensitivity to humanistic complexity: to advance algorithmic methodologies to more effectively interpret the dense, qualitative data prevalent in humanities research.
2) Synthesizing Cross-Disciplinary Frameworks: to establish a transdisciplinary dialogue that integrates the distinct lexicons and methodological constructs of AI and humanities researchers. By crafting a shared semantic and operational framework, this Research Topic intends to pave the way for seamless intellectual exchange and collaborative innovation between these divergent fields.
3) Innovating computational-humanistic methodologies: to create and validate new computational approaches that are tailored to the epistemological contours of the humanities. This includes the design of hybrid analytic tools that can apply the data processing strengths of AI to the interpretive richness of humanistic research, potentially through the use of natural language processing, pattern recognition, and semantic analysis techniques.
4) Navigating ethical and societal impacts in algorithmic humanities: to address the need to assess the ethical dimensions of AI applications in humanities. This encompasses a call for the development of ethical frameworks and algorithmic audit processes that ensure AI systems are devoid of inherent biases and adhere to principles of transparency and accountability, particularly in the context of cultural and historical data analysis.
Original research articles and reviews are welcome in this Research Topic. Topics of interest include, but are not limited to:
- Advanced, multi-scale, multi-modal and automated digitization
- Measures for cultural preservation
- Addressing the impacts of climate on cultural heritage conservation
- Using computer vision approaches for the interpretation of historical inscriptions and unraveling ancient scripts, texts, and inscriptions
- Automated reconstruction of damaged texts and artworks
- Forecasting trends and patterns in humanities studies
- Development of digital repositories featuring interconnected data
- Strategies for authenticating cultural assets and curbing illegal trade
- Implementation of immersive technologies (VR, AR, etc.) in cultural experiences
- Ethical frameworks and guidelines for the use of AI in digital humanities
- Mitigating algorithmic biases in AI applications related to historical and cultural data
- Maintaining data privacy and consent in the digitization and analysis of cultural artifacts
Keywords: digital humanities, AI-driven cultural analytics, AI for heritage conservation, ethics of AI in humanities, AI tools in archival access, LLMs in humanities, virtual and augmented reality in humanities, human behavior analysis, digital health archiving, intellectual property management
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.