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RAIDO Participates at IEEE-CH GTAI Workshop

RAIDO is pleased to announce the acceptance of two research papers for presentation at the 2025 IEEE CH Workshop on Green Trustworthy AI for Digital Humanities and Cultural Heritage (RAIDO-GTAI). The hybrid event will take place in Florence, Italy, from September 8–10, 2025.

The RAIDO-GTAI workshop offers a crucial platform for exploring the convergence of Green (energy-efficient) and Trustworthy AI with applications in digital humanities and cultural heritage. As AI’s role expands in humanities research and cultural preservation, there is a growing imperative for AI systems to be not only accurate and explainable but also environmentally sustainable. This workshop directly aligns with RAIDO’s core mission to develop a comprehensive framework for Trustworthy and Green AI, aiming to provide holistic solutions for data and model-related aspects while minimizing environmental impact.

Key Workshop Topics

  • Green Computing and Sustainability Models
  • AI-based Information Access and Retrieval
  • LLM-based Digital Public History Analysis
  • Cloud Computing / Ubiquitous Computing
  • Preserving Digital Twins of Cultural Assets
  • AI Explainability
  • Ethical AI
  • Human-Centered Design
  • Privacy and Data Protection
  • Metadata Generation

Importance for RAIDO

RAIDO’s participation and accepted papers at the IEEE-CH GTAI workshop underscore our commitment to advancing the field of Green and Trustworthy AI, particularly within the sensitive and vital domains of digital humanities and cultural heritage. Our research directly contributes to the workshop’s objectives by addressing the dual challenges of AI sustainability and trustworthiness. The workshop provides an exceptional opportunity for RAIDO to share its latest findings, engage with leading experts, and contribute to the broader discourse on responsible AI development. This aligns perfectly with RAIDO’s vision to offer a comprehensive solution for data and model-related aspects, encompassing automated data curation, data- and compute-efficient models, and tools for energy-efficient Green AI, all while ensuring transparency, explainability, and soundness through various XAI methods and innovative approaches. Our contributions reinforce RAIDO’s position at the forefront of developing AI solutions that are not only technologically advanced but also ethically sound and environmentally conscious.

Conference Dates: September 8–10, 2025

Conference Link: IEEE-CH/GTAI-WS

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