UTEM – Undistorted Technological Mediation2024-05-07T12:23:45+02:00

UTEM – Undistorted Technological Mediation

Artificial Intelligence technology is advancing quickly, to the point that its underlying functionality and ‘soft’ impacts are challenging to grasp ex ante. Due to AI’s reliance on being designed by programmers, they can become manifestations of human bias. On the other hand, as AI can hold inherent and latent qualities, it can shape individuals’ perceptions, decisions and behaviors. This effect poses serious threats of distortions from and to society and technology. Therefore, this research project focuses on investigating antecedents, risks, and opportunities of technological mediation of modern AI applications (problem analysis) and developing necessary mitigation strategies (mitigation analysis).

The research team will study the epistemic and normative distortions existing in the reciprocal influence between humans and technology and to what extent these distortions can be attenuated. This project will address these questions from two distinct directions (i.e., human-to-tech and tech-to-human influences) and with a mix of theoretical and empirical methodology. Expected practical outcomes are threefold: (1) several publications providing a holistic overview and empirical analysis of technological mediation; (2) a new and joint student module in order to share research insights and create knowledge transfers in real-time; (3) practical recommendations for assessing and mitigating distortions that can emerge during the design and use of AI. Therefore, the findings will serve and aim to impact the skills and actions of various stakeholders such as academia, policymakers, students, and technology companies.

Research Output:

The impact of intelligent decision-support systems on humans’ ethical decision-making: A systematic literature review and an integrated framework

Formalizing ethical principles within AI systems: experts’ opinions on why (not) and how to do it

News & Updates

Principle Investigators

Thierry Poibeau
Thierry PoibeauParis Artificial Intelligence Research Institute
Christoph Lütge
Christoph LütgeTUM School of Social Sciences and Technology

External Partner

Makoto Usami
Makoto UsamiGraduate School of Global Environmental Studies, Kyoto University


Aida ElamraniParis Artificial Intelligence Research Institute
Franziska Poszler
Franziska PoszlerTUM School of Social Sciences and Technology
Go to Top