The AI4CHIEF’2026 Organizing Committee invites high-quality submissions from researchers, practitioners, and community members. We welcome original research papers, insightful case studies, and visionary contributions that address the application and impact of artificial intelligence in support of:

  • Cultural Heritage
  • Indigenous Knowledge
  • Language Preservation & Revitalization
  • Ethical Data Governance
  • Community Empowerment & Sovereignty
  • Doctoral Session and Posters

Submissions should align with one of the five main tracks detailed below. We particularly encourage interdisciplinary work that bridges artificial intelligence with the humanities, social sciences, and Indigenous studies.

Submissions are invited on a wide range of topics, including but not limited to:

Track 1: AI for Cultural Heritage

  • Generative AI for cultural engagement.  
  • Immersive media (AR/VR) for reconstruction 
  • Digitization pipelines (2D/3D scanning, photogrammetry, volumetric capture) 
  • AI for Restoration workflows
  • Computer vision for object/motif recognition
  • Computer vision for material analysis.  
  • 3D reconstruction of heritage sites and artifacts
  • Handwritten-text recognition (HTR) / OCR for historical scripts;
  • document layout analysis and deterioration modelling.  
  • Knowledge graphs, ontology alignment (heritage standards); 
  • Linked open data for cultural heritage
  • Culturally governed access controls for digital heritage

Track 2: AI for Language Preservation

  •  Speech diarization with consent protocols
  •  Self-supervised audio models for linguistic analysis
  •  OCR/HTR for manuscripts in indigenous and historical scripts
  •  Script normalization, transliteration, and font/encoding solutions
  •  Corpus creation and curation
  •  Lexicon building tools
  •  Morphological analyzers and parsers for low-resource languages
  •  Data augmentation for linguistic datasets
  •  Archiving and preservation infrastructures

Track 3: AI for Language Revitalization

  • Keyboards, input methods, spell-checkers, and predictive text completion
  • ASR/TTS (Text-to-Speech) and translation aids
  • Conversational agents and chatbots for language learning
  • Interactive tutoring systems
  • Curriculum-aligned learning applications
  • Handling code-switching, dialectal variation, and multiple orthographies
  • Adapted pedagogy and assessing learning outcomes (retention, informed usage metrics)

Track 4: Ethical Frameworks and Data Governance

  • Indigenous data sovereignty frameworks
  • Consent protocols and benefit-sharing agreements
  • Culturally responsive licensing and access tiers (e.g., Traditional Knowledge labels)
  • Protections for Traditional Knowledge and sensitive cultural materials in AI systems
  • Risk assessment and harm mitigation for cultural contexts
  • Privacy-preserving learning techniques
  • Datasets and model documentation (e.g., data statements, model cards)
  • Decolonizing AI design and aligning methods with Indigenous epistemologies

Track 5: AI for Community Empowerment and Sovereignty

  • Community-driven and co-development of AI solutions
  • Technological sovereignty for indigenous peoples
  • AI as a tool for decolonization and revitalization
  • AI for self-determination and intergenerational knowledge transmission
  • Development of community-controlled digital platforms and open-source tools
  • Reducing dependence on commercial platforms
  • Promoting digital literacy in AI
  • AI for Indigenous Studies
  • Analyzing the impacts of AI on marginalized communities

Doctoral Session

PhD students are invited to submit a work-in-progress poster or a two-page abstract for the dedicated doctoral session.  

All paper submissions for AI4CHIEF will be via the official submission system: EDAS Submission System