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This lesson aims to empower GLAM (Galleries, Libraries, Archives, and Museums) staff by providing the foundation to support, participate in and begin to undertake in their own right, machine learning-based research and projects with heritage collections.

After attending, learners will be able to:

  • Explain and differentiate key terms, phrases, and concepts associated with AI and Machine Learning in GLAM
  • Describe ways in which AI is being innovatively used in the cultural heritage context today
  • Identify what kinds of tasks machine learning models excel at in GLAM applications
  • Identify weaknesses in machine learning models
  • Reflect on ethical implications of applying machine learning to cultural heritage collections and discuss potential mitigation strategies
  • Summarise the practical, technical steps involved in undertaking machine learning projects
  • Identify additional resources on AI and Machine Learning in GLAM

Prerequisites

None {: .prereq}

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