Regulatory concept for algorithmic decision-making systems under environmental law

The project examines regulatory levers in environmental law to align the “twin challenges” of the digital and the green transformation. It focuses on digital tools, processes and systems, which frequently function on the basis of AI technologies and are understood as automated or algorithm-based decision-making systems (ADS). Particularly with regard to environmental issues, the regulation of ADS faces major challenges. The project addresses these regulatory challenges. It analyzes promising regulatory instruments of ADS in terms of environmental sustainability goals, such as those anchored in the German government's sustainability strategy.

 

More information about the project

Status of project

Project is ongoing

Project manager

Project staff

Funded by

German Environment Agency (UBA)

Project partners

Prof. Dr. Oliver Zielinski
Dr. Frederic Theodor Stahl
Prof. Dr. Lars Nolle
Independent Institute for Environmental Issues (UfU)
Society for Institutional Analysis (sofia) e.V.