What should AI see? Using the Public's Opinion to Determine the Perception of an AI

no code implementations • 9 Jun 2022 • Robin Chan, Radin Dardashti, Meike Osinski, Matthias Rottmann, Dominik Brüggemann, Cilia Rücker, Peter Schlicht, Fabian Hüger, Nikol Rummel, Hanno Gottschalk

Finally, we include comments from industry leaders in the field of AI safety on the applicability of survey based elements in the design of AI functionalities in automated driving.

The Ethical Dilemma when (not) Setting up Cost-based Decision Rules in Semantic Segmentation

no code implementations • 2 Jul 2019 • Robin Chan, Matthias Rottmann, Radin Dardashti, Fabian Hüger, Peter Schlicht, Hanno Gottschalk

Neural networks for semantic segmentation can be seen as statistical models that provide for each pixel of one image a probability distribution on predefined classes.

Semantic Segmentation