Felix Biessmann: Challenges in AI Model Development: Data Quality, Privacy, Scale, and Robustness in Research and Applications
Dear Colleagues,
We are delighted to relaunch the HEIBRiDS Lecture Series on October 28 at 16:00!
For our first lecture, we are pleased to welcome Prof. Dr. Felix Biessmann (Berliner Hochschule für Technik, BHT), who will give a talk on:
“Challenges in AI Model Development: Data Quality, Privacy, Scale, and Robustness in Research and Applications
While modern agentic approaches help with automation of some challenges in research, many challenges remain when building modern applications of Artificial Intelligence for scientific analyses and applications. Common problems are related to technical, procedural or legal hurdles. Underneath these re-occurring difficulties in the AI model development process, there are cross-cutting challenges associated to data quality problems. In this talk I will highlight in a number of examples, ranging from urban technology over biology and life sciences to health care, how some of these challenges can be tackled while accounting for the complexity of responsible AI usage, such that models achieve not only high predictive performance, but also robustness, efficiency, fairness and privacy.”
When?
Wednesday, 28 October 2026, 16:00-17:00
Where?
In person: MDC-BIMSB, Conference Room 0.61 (with the opportunity to meet and interact with our HEIBRiDS doctoral researchers)
Online: Via Zoom; https://mdc-berlin.zoom-x.de/j/61898087267?pwd=T85siKjEIHYxoHsdMWXHdk06aGUagi.1
About our speaker:
Prof. Dr. Felix Biessmann is a professor at the Berliner Hochschule für Technik (BHT), working at the intersection of machine learning, data science, and responsible AI. His research addresses challenges in developing and applying AI methods across scientific and practical domains.
You can learn more about his work here:
Venue
MDC-BIMSB
Hannoversche Straße 28
10115 Berlin
Germany