Sometimes too convenient: AI under the microscope

Scientists from Tübingen and Toronto call for stronger testing procedures for algorithms

The achievements of artificial intelligence (AI) are usually regarded as success stories: AI translates texts with impressive accuracy, detects cancer in some cases better than doctors. However, it is often forgotten that AI also makes mistakes. An international team of scientists has compiled the various forms these take in a perspectives paper. In it, they focus on how AI learns and how things can go wrong, even though the algorithms perform well in standard testing procedures.

Thumb ticker sm wichmann felix privat
University of Tübingen
Thumb ticker sm bethge matthias
University of Tübingen
Thumb ticker sm profile color
Max Planck Institute for Intelligent Systems

Related Articles

News event item green

Andreas Geiger wins Longuet-Higgins prize

Second high-profile award for the “KITTI Vision Benchmark”
Arrow left
Thumb ticker md imgl0231

Foundation stone laid for new Cyber Valley building

Structure to become part of the Innovation Campus in Tübingen
Arrow left
Thumb ticker md sidays22 event 2

Science & Innovation Days 2022

Knowledge creates the future
Arrow left