Prof. Dr. Peter Dabrock

Chair for Systematic Theology (Ethics)

The research profile of the Chair of Systematic Theology II (Ethics) at the FAU can be characterized as foundational-theological and concrete ethics and includes in particular questions concerning bioethics and social ethics. Ethics is conceived as a discipline that detects normative questions and analyses and interprets them in regarding prerequisites and consequences, determines criteria for the assessment of conflict situations and thus also advises decision-makers at the same time, and passes on the respective knowledge and competencies to students. Peter Dabrock’s current research focuses on ethics of life sciences and biomedicine at the interface of science, technology, and society, ethics of Big Data-driven and biomarker-based medicine, ethics of AI, ethics of Pandemic response, and ethics of forms of life in the democratically framed civil society under the rule of law (social justice, demographic change, sexual ethics, public theology).

Research projects

  • VALID: Al-Driven Decision-Making in the Clinic. Ethical, Legal, and Societal Challenges
  • DigiOnko: Integrative concept for personalized precision medicine in prevention, early detection, therapy, and relapse avoidance using the example of breast cancer
  • DABIGO: data sovereignty in clinical big data regimes. Ethical, Legal, and Governance Challenges

  • Integratives Konzept zur personalisierten Präzisionsmedizin in Prävention, Früh-Erkennung, Therapie undRückfallvermeidung am Beispiel von Brustkrebs - DigiOnko

    (Third Party Funds Single)

    Term: 1. October 2020 - 30. September 2024
    Funding source: Bayerisches Staatsministerium für Gesundheit und Pflege, StMGP (seit 2018)
  • Integratives Konzept zur personalisierten Präzisionsmedizin in Prävention, Früh-Erkennung, Therapie und Rückfallvermeidung am Beispiel von Brustkrebs

    (Third Party Funds Single)

    Term: 1. October 2020 - 30. September 2024
    Funding source: Bayerisches Staatsministerium für Gesundheit und Pflege, StMGP (seit 2018)

    Breast cancer is one of the leading causes of death in the field of oncology in Germany. For the successful care and treatment of patients with breast cancer, a high level of information for those affected is essential in order to achieve a high level of compliance with the established structures and therapies. On the one hand, the digitalisation of medicine offers the opportunity to develop new technologies that increase the efficiency of medical care. On the other hand, it can also strengthen patient compliance by improving information and patient integration through electronic health applications. Thus, a reduction in mortality and an improvement in quality of life can be achieved. Within the framework of this project, digital health programmes are going to be created that support and complement health care. The project aims to provide better and faster access to new diagnostic and therapeutic procedures in mainstream oncology care, to implement eHealth models for more efficient and effective cancer care, and to improve capacity for patients in oncologcal therapy in times of crisis (such as the SARS-CoV-2 pandemic). The Chair of Health Management is conducting the health economic evaluation and analysing the extent to which digitalisation can contribute to a reduction in the costs of treatment and care as well as to an improvement in the quality of life of breast cancer patients.

  • SMART Start: Smarte Sensorik in der Schwangerschaft - Ein integratives Konzept zur digitalen, präventiven Versorgung schwangerer Frauen

    (Third Party Funds Single)

    Term: 1. March 2020 - 30. April 2023
    Funding source: Bundesministerium für Gesundheit (BMG)
  • vALID: Artificial-Intelligence-Driven Decision-Making in the Clinic. Ethical, Legal and Societal Challenges

    (Third Party Funds Group – Overall project)

    Term: 1. November 2019 - 31. October 2022
    Funding source: BMBF / Verbundprojekt

    AI is oneveryone’s lips. Applications of AI are becoming increasingly relevant in thefield of clinical decision-making. While many of the conceivable use casesstill lay in the future, others have already begun to shape practice. Theproject vALID provides a normative, legal, and technicalanalysis of how AI-driven clinical Decisions Support Systems could be alignedwith the ideal of clinician and patient sovereignty.

    vALID consistsof four subprojects. On the basis of an in-depth analysis of existing normativework on clinical AI, the ethical subproject examines which aspects the ideal ofclinician and patient sovereignty encompasses. On the basis of a de lege lataanalysis, the legal subproject analyzes and evaluates various regulatoryoptions in the national and international context. Both subprojects reflect onhow concepts of trustworthiness, transparency, agency and responsibility areinfluenced and shifted by clinical AI, both on a theoretical level and withregard to concrete moral and legal consequences.

    In thetechnical subproject, and against the background of a thorough analysis of whatis technically possible and already being practiced in the clinic, mock-upsimulations of conventional, automated and integrative decision support systemswill be developed. In the empirical subproject, clinicians and patients will beexposed to these mock-up simulations. Quantitative and qualitative methods willthen be used to systematically gather perspectives and argumentative patternson the range of designs and implementations of AI-driven, clinical decisionsupport systems.

    Throughoutthis process, the subprojects are continuously methodologically intertwined:The normative subprojects on the one hand develop the conceptual framework forthe empirical investigations, and on the other hand incorporate results of thelatter into their positions.

    On the basis of this work, the four vALID subprojectswill finally jointly develop an ethically, legally, technically, andempirically informed governance perspective for AI-driven decision supportsystems in the context of shared clinical decision-making.



Related Research Fields