mlsanityData to 7 Oct 2026

FAIR for AI: An interdisciplinary and international community building perspective

arXiv 2210.08973 ↗First posted 30 Sep 2022cs.CY cs.HC cs.LGcited by 13

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Abstract (arXiv)

A foundational set of findable, accessible, interoperable, and reusable (FAIR) principles were proposed in 2016 as prerequisites for proper data management and stewardship, with the goal of enabling the reusability of scholarly data. The principles were also meant to apply to other digital assets, at a high level, and over time, the FAIR guiding principles have been re-interpreted or extended to include the software, tools, algorithms, and workflows that produce data. FAIR principles are now being adapted in the context of AI models and datasets. Here, we present the perspectives, vision, and experiences of researchers from different countries, disciplines, and backgrounds who are leading the definition and adoption of FAIR principles in their communities of practice, and discuss outcomes that may result from pursuing and incentivizing FAIR AI research. The material for this report builds on the FAIR for AI Workshop held at Argonne National Laboratory on June 7, 2022.

Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). Builds on 22 of its 75 references that are in the map. First posted on arXiv 30 Sep 2022.

Builds on

22 of 75 references.

References · 22

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10 more
  1. 2021A FAIR and AI-ready Higgs boson decay datasetcited by 14
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 1; 2024: 1; 2025: 8; 2026: 3.

13 papers.

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  1. 2025SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Modelscited by 15
  2. 2024FAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training?cited by 9
  3. 2025Building Machine Learning Challenges for Anomaly Detection in Sciencecited by 5
  4. 2023APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Servicecited by 4
  5. 2025Stable and Interpretable Jet Physics with IRC-Safe Equivariant Feature Extractioncited by 2
  6. 2025Open and Sustainable AI: challenges, opportunities and the road ahead in the life sciences (October 2025 -- Version 2)cited by 1
  7. 2025CORTEX: Composite Overlay for Risk Tiering and Exposure in Operational AI Systemscited by 1
  8. 2025Strategic White Paper on AI Infrastructure for Particle, Nuclear, and Astroparticle Physics: Insights from JENA and EuCAIFcited by 0
  9. 2025Human-in-the-Loop and AI: Crowdsourcing Metadata Vocabulary for Materials Sciencecited by 0
  10. 2025Enhancing Transparency and Traceability in Healthcare AI: The AI Product Passportcited by 0
  11. 2026Criteria-first, semantics-later: reproducible structure discovery in image-based sciencescited by 0
  12. 2026Constructing Executable Analytical Knowledge Representations for Meta-Analysis Synthesis Using an Agentic Harnesscited by 0
1 more
  1. 2026A comprehensive and trustworthy benchmark of AI methods for change detection in Earth observationcited by 0