Social trust in learning systems

Project description

Within the framework of the basic-funded in-house research, research questions are dealt with which, in the context of program-oriented funding, contribute to the profile development of ITAS in the Helmholtz Research Field Information in the thematic area “Learning Systems”.

The research focuses primarily on the development and framing of a context-specific understanding of processes, methods and consequences of learning systems as “enabling technologies” as well as possibilities for a responsible handling of potential risks in various fields of application. Since the overarching problem of trust in information systems is also affected by automated applications and decision-making systems, the research will focus in particular on relevant questions concerning societal trust in learning systems. This will build on previous and parallel work of the project members on risk research, autonomous driving, automation of the working world, adversarial AI, explainable AI and the philosophy of science of the computational sciences, which will be further developed or made fruitful for application within the thematic field. An important task of the project is to bring together the previously unconnected work on this topic at ITAS and to develop a common perspective. This also includes organizing the transfer of knowledge across project and research groups and intensifying the cooperation with KIT computer science institutes.


Book Chapters
Heil, R.
Künstliche Intelligenz/Maschinelles Lernen.
2021. Handbuch Technikethik. Hrsg.: A. Grunwald, 424–428, J.B. Metzler. doi:10.1007/978-3-476-04901-8_81
Bareis, J.
Zwischen Agenda, Zwang und Widerspruch. Der liberale Staat und der Fall KI.
2021. NTA9-TA21: Digital, Direkt, Demokratisch? Technikfolgenabschätzung und die Zukunft der Demokratie (2021), Online, May 10–12, 2021 
Heil, R.
Collecting Data, Tracing & Tracking.
2021. Big Data-Hype: Aus den Augen, aus dem Sinn? „Das Öl des 21. Jahrhunderts“: Früh wieder still und zur Selbstverständlichkeit geworden ("Deep Dive" Online-Experten-Roundtable 2021), Cologne, Germany, March 10, 2021 
Bareis, J.; Bächle, T. C.
Sociotechnical weapons: AI myths as national power play.
2020. Locating and Timing Matters: Significance and agency of STS in emerging worlds (EASST/4S 2020), Online, August 18–21, 2020 


Reinhard Heil
Karlsruhe Institute of Technology (KIT)
Institute for Technology Assessment and Systems Analysis (ITAS)
P.O. Box 3640
76021 Karlsruhe

Tel.: +49 721 608-26815