Skip to content

Theoretical, ethical, and social implications of AI for neuropsychiatric research and practice – TESIComP

Welcome to TESIComP

What is the background of the project?

AI-based approaches such as machine learning using neural networks are increasingly being used in neuropsychiatric research and practice. They are expected to enable more precise prediction, early detection and diagnosis, and thus more targeted treatment of neuropsychiatric disorders. However, the basis of the results obtained with these computational psychiatry methods is often no longer readily comprehensible to professional users as well as to patients and their relatives. This opacity of AI-based approaches raises fundamental theoretical, ethical, and social questions for neuropsychiatric research and practice.

What is the objective?

The overarching goal of the interdisciplinary collaborative project “TESIComP” is the empirical identification, ethical evaluation, and scientific assessment of theoretical and practical implications and consequences of computational psychiatry at the levels of neuropsychiatric research and clinical practice. The focus is on two prominent application areas of AI-based approaches: Alzheimer’s disease and de-pressive disorders.

How is the project structured?

The joint project TESIComP links three substantive (two medical/one ethical) subprojects at different locations, which, within the framework of different methods of qualitative social research as well as ethical and scientific theoretical analysis, deal with the implications of computational psychiatry for neuropsychiatric research and practice, the discipline’s understanding of illness and science, and the (professional) self-image of clinicians, researchers, patients, and relatives.

> more about our research

What results do we expect?

In the project, we aim to develop empirically-informed ethical recommendations to inform psychiatric practice, technology development, and policymakers.

> more about our research

Who are the involved parties?

The University of Oldenburg, Heidelberg University Medical Center and the DZNE are involved in the TESIComP project.

> more about who we are