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Week 3: Machine Learning and Models

Schedule

Morning (8:45-12:45)

  • Opening (8:45-9:00)
  • Workshop: Model training, tuning & evaluation with Google Teachable Machine (9:00-11:00)
  • Lecture: Model training, tuning & evaluation (Hiram Rodriguez, NXP) (11:00-12:00)
  • Discussion (12:00-12:30)
  • Closing (12:30-12:45)

Afternoon (13:45-17:45)

  • Opening (13:45-14:00)
  • Lecture: Ethics of models (James Broadhead) (14:00-15:00)
  • Workshop: Prototyping models (15:00-17:00)
  • Discussion (17:00-17:30)
  • Closing (17:30-17:45)

Homework

Readings: 

  1. Alfrink, K., Keller, I., Kortuem, G., & Doorn, N. (2021). Contestable AI by Design: Towards A Framework. Manuscript Submitted for Publication.
  2. Almada, M. (2019). Human intervention in automated decision-making: Toward the construction of contestable systems. Proceedings of the 17th International Conference on Artificial Intelligence and Law, ICAIL 2019, 2–11. https://doi.org/10/gghft8

Activities:

  • Collect data for stakeholder analysis (Denis Bulygin)

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