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SUMMARY:FAIR data management for artificial intelligence / Upravljanje pod
 atkov za umetno inteligenco po načelih FAIR
DTSTART:20260608T070000Z
DTEND:20260608T110000Z
DTSTAMP:20260612T013900Z
UID:indico-event-3803@indico.ijs.si
CONTACT:events@slaif.si
DESCRIPTION:Speakers: Panče Panov (Jožef Stefan Institute)\n\nCourse pro
 vider: Jožef Stefan Institute (JSI) Instructors: Panče Panov (JSI)\nLe
 arning objectives: \n\nUnderstand AI data assets across the lifecycle: ho
 w datasets\, labels\, dataset splits\, features\, and evaluation artifact
 s evolve from collection to reuse\;\nApply the FAIR principles to AI work:
  make data and outputs easier to find\, access\, combine\, and reuse (for 
 teams and future projects)\;\nCreate an actionable DMP for AI projects: a 
 lightweight plan that supports reproducibility\, handover\, and complianc
 e\; and\nHandle constraints responsibly: recognize sensitive data\, ethica
 l considerations\, access limitations\, and industry vs research expectati
 ons.\n\nCourse content: \n\nAI data assets and data life cycle (raw/proces
 sed data\, labels\, splits\, evaluation artefacts)\;\nReview of the FAIR p
 rinciples in the context of AI projects\;\nFinding\, accessing and reusing
  data for AI (including access conditions and licensing)\;\nData interoper
 ability for AI (formats\, metadata\, label definitions and basic standards
 )\;\nData repositories and sharing strategies for AI datasets and related 
 artefacts\;\nDealing with confidential\, personal\, sensitive and private 
 data\, and ethical aspects in AI\;\nData management plan (AI-focused): str
 ucture of an AI-oriented DMP\, use of FAIR principles\, and examples of be
 st practices and tools\;\nData management in research and industry: open d
 ata/open science vs. industrial constraints (governance\, IP\, security) i
 n AI projects.\n\nLearning outcomes: By the end of the training\, particip
 ants can:\n\nExplain the AI data lifecycle and basic good practices (struc
 ture\, documentation\, versioning\, provenance)\;\nPerform a basic FAIR ch
 eck on an AI dataset/project and list concrete “quick wins” (metadata\
 , access statement\, license\, formats)\;\nDraft a short AI-focused DMP (1
 –2 pages) that a team can actually follow\; and\nIdentify when extra saf
 eguards are required (personal/confidential data\, restricted access\, IP)
  and propose sensible mitigations. \n\n\nhttps://indico.ijs.si/event/3803
 /
IMAGE;VALUE=URI:https://indico.ijs.si/event/3803/logo-1596601024.png
LOCATION:predavalnica Elektronike na Teslovi 30 (Teslova ulica 30)
URL:https://indico.ijs.si/event/3803/
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