In collaboration with
VAIA
PURPOSE
This training aims to operationalise AI ethics by equipping participants with practical tools and methodologies to build AI solutions that are not only powerful but also ethical, responsible, and sustainable.
LEARNING OUTCOMES
Participants will learn to discover and handle issues in the data and a classification pipeline through the operationalisation of AI ethics in practice. Concretely, participants will learn practical techniques for identifying unfair data and methods, biases, imbalanced data, high energy use, and weaknesses of evaluation measures. Participants will take away how they can do it in their day-to-day work.
KEY FEATURES
Hands-on training through problem-based learning: Start solving a classification problem, reflect in group, and learn from each others.
Coding in pairs: Partner in pairs based on personal preferences for coding.
Actionable takeaways: Walk away with practical techniques and actionable skills to immediately integrate responsible, ethical, and sustainable AI strategies into projects.
TARGET AUDIENCE
The ideal participants for this workshop are developers, novice data scientists, and AI engineers with experience with coding and basic knowledge of Python, scikit-learn, and Pandas.
PROGRAMME
- 09:00 Introduce VAIA & tour the table
- 09:30 The problem is introduced to the students
- 09:45 Students tackle the problem, in pairs, on their own
- 11:00 The different approaches of the students are discussed
- 12:00 LUNCH BREAK
- 13:00 – 14:00 Improve solution using feedback from before
- 14:00 - 15:00 Introduce operationalisations for sustainable, responsible, and ethics AI
- 15:00 – 16:00 Exercises
- 16:30 Wrap-up and further reading
Participants must bring their own laptops.
PRICE
145 euro
ENROL
Interested? Enrol here
