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IRIS Forschung

Intelligente Systeme in Politik, Wirtschaft, Bildung und Gesellschaft kritisch reflektieren
[Foto: fotografierende von Pexels]

IRIS Forschung

Der Fokus der IRIS-Forschung liegt auf den gesellschaftlichen Auswirkungen intelligenter Systeme. Dabei fließen vielfältige Forschungsaktivitäten der IRIS-Mitglieder und des Participation and Deliberation Labs (ZIRIUS) zusammen.

Zu den Forschungsthemen im IRIS gehören

  • Ethische und gesellschaftliche Herausforderungen von intelligenten Systemen
  • Risiken und Nutzen der automatisierten Entscheidungsfindung in verschiedenen Anwendungsfeldern
  • Partizipative/konstruktive Technikfolgenabschätzung (p/cTA)
  • Szenarien, die Kontexte und Voraussetzungen für den Einsatz intelligenter Systeme in der Gesellschaft analysieren
  • Voraussetzungen für einen gesellschaftlich wünschenswerten Einsatz von lernenden Systemen und autonomer Entscheidungsunterstützung bzw. Entscheidungsfindung
  • Verantwortungsvolle Formen von Mensch-Computer-Interaktionen
  • Sozialökologische Auswirkungen der Digitalisierung
  • Grenzen und kritische Aspekte von Datafizierung, künstlicher Intelligenz, lernenden Systemen und Smartification

Forschungsprojekte mit Bezug zur kritischen Reflexion intelligenter Systeme

Förderung: Volkswagen Stiftung (Förderlinie "Artificial Intelligence - Its Impact on Tomorrow's Society")

Antragstellende (mit Bezug zu IRIS): Prof. Dr. Jonas Kuhn

Laufzeit: 10/2021 - 09/2025

Weitere Informationen: Projektbeschreibung

Weitere Forschung von IRIS-Mitgliedern

Institute for Modelling and Simulation of Biomechanical Systems

This research focuses on human physical interaction with the environment using digital human body models.

  • Do these models allow for unbiased and ideology-free decision-making?
  • Do these models enable improved human-centered and barrier-free design of the built environment?

IRIS Members Involved: Prof. Dr. Syn Schmitt

More Information: Research in Computational Biophysics and Biorobotics

Institute for Natural Language Processing

This research focuses on Natural Language Processing applications to support (and understand) deliberative processes (from political discourse to e-deliberation) and the Interpretability (and cognitive plausibility) of Natural Language Processing models.

IRIS Members Involved: Dr. Gabriella Lapesa

More Information: Powering up E-DELIBeration: towards AI-supported moderation

Forschungsprojekte mit SimTech


The transmission of infectious diseases depends on human behavior and their relations. However, current epidemiological models consider social structures only at a highly abstract level. To increase the predictive capability and explanatory power, models of human behavior incorporating social complexity are therefore urgently needed. We address this gap by developing an agent-based approach that utilizes comprehensive micro-level data of complete households. This allows us to create artificial societies that are representative for underlying social structures and contact networks. Based on comprehensive COVID-19 data, we then utilize Bayesian model calibration to estimate unknown parameters and quantify their uncertainty. Conducting various simulation experiments will then allow us to identify super-spreaders and assess the efficiency of interventions. Thus, the project makes not only a substantial contribution to a holistic ”Digital Human Model”, but is also a methodological response to the increasing demand for empirically-calibrated simulation models. However, computational models always bear the risk of incorporating biases. We will tackle this challenge, which is enhanced by potential stigmatization of super-spreaders, by incorporating sensitivity analyses and so pave the way for the development of systematic ”methods of reflection”.


07/2022 – 12/2025

Eingebundene IRIS Mitglieder

The project is funded by the German Research Foundation within the Cluster of Excellence "Data-Integrated Simulation Science" (EXC 2075).


The project aims to critically reflect on the societal implications of simulation science. This includes, but is not limited to, ethical and social concerns related to simulation science, such as data ethics, privacy issues, or the dual use of research findings; the function of various media (including literature and art) in critically reflecting on potential risks and impacts of simulation science; and empirically informed impact assessment of research approaches within EXC 2075. 


09/2022 - 08/2024

Eingebundene IRIS-Mitglieder

The project is funded by the German Research Foundation within the Cluster of Excellence "Data-Integrated Simulation Science" (EXC 2075).

IRIS Forschung Meldungen


Dieses Bild zeigt Curtis Runstedler

Curtis Runstedler


Wissenschaftlicher Mitarbeiter

Dieses Bild zeigt Lukas Erhard

Lukas Erhard


Akademischer Mitarbeiter

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