Why Did The Model Do That? Debugging the Ghost in the Machine

Cosima Meyer

Ethics & Privacy
Python Skill Intermediate
Domain Expertise Intermediate

My planned outline for the talk is as follows:

  • Intro and opening hook (4 mins): A look at a clearly biased model and why "black box" decisions fail to establish trust

  • The XAI Decision Tree (17 mins):

    • A practical overview of the landscape and walking through the tree: Selecting the right method based on your model and data
      • Mapping these methods to specific Python libraries and frameworks (e.g., shap, lime, captum, transformers-interpret, alibi, dalex, ...)

  • Closing and Take-away (4 mins)

  • Q&A and Buffer (5 mins)

Cosima Meyer

Cosima Meyer is a data scientist with a strong focus on making machine learning models explainable and accessible. Passionate about trustworthy AI, she is committed to building systems that are not only technically robust but also transparent and ethical. As a Google's Women Techmakers Ambassador and an active member of PyLadies, Cosima is dedicated to fostering inclusive and collaborative communities, working to bridge the two groups and create spaces for knowledge-sharing and growth.

During her PhD studies at the University of Mannheim, Cosima discovered her enthusiasm for sharing knowledge through technical blog posts and developing open-source software. Her work reflects a blend of technical expertise and a passion for community building, inspiring others to explore, learn, and contribute to the fields of AI and data science.