Better Data, Smarter AI: Why Quality Matters – With Frauke Kreuter

How does data quality shape the future of AI? Frauke Kreuter, Professor at the Chair of Statistics and Data Science at LMU Munich and MCML PI, shares her insights on the fundamental role of data quality in the development and deployment of AI.

In the video, she explains how data influences not only the technical performance of machine learning models, but also their real-world consequences — from the accuracy of navigation apps to fairness in automated decision-making.

This disconnect between training data and real-world application is a critical challenge in AI. Machine learning systems optimise based on the data they receive, but when that data is incomplete, biased, or unrepresentative, the consequences can be far-reaching.

In this video series you can learn how researchers at MCML are working to improve data quality, enhance fairness, and shape more inclusive machine learning systems.

The film was produced and edited by Nicole Huminski and Nikolai Huber.