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
ELLIS Institute Tübingen, Max Planck Institute for Intelligent Systems & Tübingen Al Center

Related Articles

Thumb ticker md design learnings graphics and comments 12

IMPRS-IS Call for Applications is Now Open

Join the Cyber Valley Community as a PhD student
Arrow left
Thumb ticker md bmas ministerreise bw

Federal Minister Hubertus Heil visits Cyber Valley in Tüb...

How AI and skilled immigration will change the future of work
Arrow left
Thumb ticker md design learnings graphics and comments

European Robotics Forum 2025 (ERF2025)

Cyber Valley co-hosts the 16th edition of ERF in Stuttgart
Arrow left