Building reliable AI models depends not only on how much data is annotated, but on the quality and meaning of the labels used during annotation. In many workflows, labels are flat, task-specific class names. They are easy to apply, but lack explicit semantic structure, provenance, and links to shared domain Read more
On April 24th, Prof. Dr. Daniel Sonntag gave an invited talk for the Casino-Gesellschaft Oldenburg, an over 200 year old municipal association. Mr Reichelt, the chairman of Casino-Gesellschaft, introduced the event. Prof. Sonntag’s talk was about the journey to human-centered artificial intelligence. In addition, Prof. Gouvea from IML introduced the Read more
Daniel Sonntag is an invited speaker at the AAAI Fall Symposium Series, HUMAN-CENTERED AI: TRUSTWORTHINESS OF AI MODELS & DATA. Title: Interactive Machine Learning and Explainable AI, two sides of the same coin.
Michael Barz and Daniel Sonntag are invited speakers at Daimler’s Advanced Analytics & Big Data Infoday 2019. Title: Interactive and Explainable Machine Learning
Invited Speaker at the 12th Annual International Conference on Systems Biology of Human Disease – SBHD 2019, May 27-29 in Berlin. Daniel Sonntag, Title: “Interactive Machine Learning in Medicine: Potentials and Limitations”