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FAIR data management for artificial intelligence / Upravljanje podatkov za umetno inteligenco po načelih FAIR

8 June 2026
Teslova ulica 30
Europe/Ljubljana timezone
Prijave so obvezne! / Registrations Obligatory!

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Contribution List

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  1. 2. Welcome and Introduction
    Dr Panče Panov
    08/06/2026, 09:00
  2. 3. Block 1: AI data lifecycle & FAIR principles
    Dr Panče Panov
    08/06/2026, 09:15

    Introduction to AI data assets (raw data, processed data, labels, dataset splits, features, evaluation artefacts) and how they evolve across the data lifecycle. Review of the FAIR principles and what each letter means in the context of AI projects.

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  3. 5. Block 2: Finding, sharing & interoperability
    Dr Panče Panov
    08/06/2026, 10:45

    Practical session on how to find, access and reuse AI datasets, including access conditions and licensing. Discussion of interoperability for AI: file formats, metadata schemas, label definitions and basic standards. Overview of data repositories and sharing strategies for AI datasets and related artefacts.

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  4. 7. Block 3: Sensitive data, ethics, industry constraints & DMP
    Dr Panče Panov
    08/06/2026, 12:10

    Working with confidential, personal and sensitive data in AI, and the main ethical considerations. Open data and open science versus industrial constraints (governance, IP, security). Structure of an AI-focused data management plan and supporting tools.

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  5. 8. Wrap-up and Q&A
    Dr Panče Panov
    08/06/2026, 12:55
  6. 4. Break
    Dr Panče Panov
  7. 6. Break
    Dr Panče Panov