Workshop on Fairness of an AI model: AI perspective

Are you curious about what Trustworthy AI is? Or do you want to know more about the fairness of an AI model? In this interactive workshop you gain basic insights in how skin lesions can be classified with an AI model. You will see how real world data can bias a model, and how it can be prevented.

About the speaker

Steff Groefsema is a PhD candidate on ‘Ethical uncertainty in medical AI’ which is an interdisciplanery PhD funded through the m20 program of the Ubbo Emmius Foundation. After completing a master’s in Artificial Intelligence, I wanted to look at challenging applications in the real world. This interdisciplanary PhD with the UMCG enables me to develop models which can help the user to indetify performance prob,ems.

Why Attend?

• Gain basic insights into the concepts of trustworthy AI and fairness in medical imaging.
• Gain insights into how a classifier is trained on medical data using PyTorch.
• Discover how  design choices impact specific patient groups.

Who Should Attend?

No medical background is required—this workshop is for anyone with:

• An interest in applying AI to healthcare challenges.

What to Bring?

• A laptop with Wi-Fi access (Eduroam or other) is needed.
• A Kaggle account with working internet acces (Register using this link and verify account using this link).

Workshop Highlights

• Trustworthy AI and fairness in medical imaging.
• AI Development: Learn best practices for data preprocessing, labelling, metrics, algorithm selection, and validation.

Please note that late registrations will be added to a waitlist.