Prof. Dr. Ruth Müller

Professor of Science & Technology Policy, Munich Center for Technology in Society (MCTS) | Technical University of Munich

Ruth Müller is a researcher in the interdisciplinary research field of Science & Technology studies. She has studied molecular biology (M.Sc.) and sociology (PhD) at the University of Vienna, Austria. During her studies, she researched breast cancer at the Medical University of Vienna (2001-2005) before working on issues of life sciences, society & policy at the Department of Science and Technology Studies at the University of Vienna (2005-2011). In addition, she held postdoctoral positions at the Austrian Institute of International Affairs (2012-2013) and the Research Policy Institute at Lund University, Sweden (2013-2015). Furthermore, she has been a recurring visiting researcher at the Science & Justice Research Center, University of California Santa Cruz, U.S. In February 2015, she was appointed Assistant Professor of Science & Technology Policy at the Munich Center for Technology in Society, a co-appointment with the TUM School of Management and the TUM School of Life Sciences.

ruth.mueller@tum.de
Profile
Participations and Contributions
Publications
Participations and Contributions
All posts
Digital work environment

RESPONSIBLE ROBOTICS (RR-AI) Tracing ethical and social aspects of AI-based transformations in healthcare work and knowledge environments

Project

The integration of embodied Artificial Intelligence (AI) into healthcare and society generally is expected to deliver major benefits over the coming decades.

Publications

  • McLennan, Stuart; Fiske, Amelia; Celi, Leo Anthony; Müller, Ruth; Harder, Jan; Ritt, Konstantin; Haddadin, Sami; Buyx, Alena (2020)

    An embedded ethics approach for AI development

    Journal article
    Nat Mach Intell (Nature Machine Intelligence), Volume: 2, Nr. 9, P. 488-490
    DOI: 10.1038/s42256-020-0214-1
    Project: RR-AI
  • Skerlj, Jon; Braun, Maximilian; Witz, Sophia; Breuer, Svenja; Bak, Marieke; Scholz, Sebastian; Naceri, Abdeldjallil; Müller, Ruth; Haddadin, Sami; Eisenberger, Iris (2023)

    Data Recording for Responsible Robotics

    Conference paper
    Proceedings of the 2023 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO), P. 103-109
    DOI: 10.1109/arso56563.2023.10187414
    Project: RR-AI
  • Braun, Maximilian; Breuer, Svenja; Tigard, Daniel; Müller, Ruth (2022)

    Embedded Ethics and Social Sciences

    Conference paper
    Proceedings of ACM/IEEE International Conference on Human-Robot 2022
    Project: RR-AI
  • Braun, Maximilian; Breuer, Svenja; Tigard, Daniel; Müller, Ruth (2022)

    Embedded Ethics and Social Sciences in HRI Research: Scenarios and Subjectivities

    Conference paper
    Proceedings of Re-configuring Human-Robot Interaction (HRI 2022), P. 1-4
    Project: RR-AI
  • Fiske, Amelia; Tigard, Daniel; Müller, Ruth; Haddadin, Sami; Buyx, Alena; McLennan, Stuart (2020)

    Embedded Ethics Could Help Implement the Pipeline Model Framework for Machine Learning Healthcare Applications.

    Journal article
    The American journal of bioethics : AJOB, Volume: 20, Nr. 11, P. 32-35
    DOI: 10.1080/15265161.2020.1820101
    Project: RR-AI
  • McLennan, Stuart; Fiske, Amelia; Tigard, Daniel W.; Müller, Ruth; Haddadin, Sami; Buyx, Alena (2022)

    Embedded ethics: a proposal for integrating ethics into the development of medical AI

    Journal article
    BMC Medical Ethics, Volume: 23, Nr. 1, P. 6
    DOI: 10.1186/s12910-022-00746-3
    Project: RR-AI
  • Breuer, Svenja; Braun, Maximilian; Tigard, Daniel; Buyx, Alena; Müller, Ruth (2023)

    How Engineers’ Imaginaries of Healthcare Shape Design and User Engagement: A Case Study of a Robotics Initiative for Geriatric Healthcare AI Applications

    Journal article
    Transactions on Human-Computer Interaction (TOCHI), Volume: 30, Nr. 2, P. 1-33
    DOI: 10.1145/3577010
    Project: RR-AI
  • Breuer, Svenja; Braun, Maximilian; Tigard, Daniel; Buyx, Alena; Müller, Ruth (2023)

    How Engineers’ Imaginaries of Healthcare Shape Design and User Engagement: A Case Study of a Robotics Initiative for Geriatric Healthcare AI Applications

    Journal article
    Transactions on Human-Computer Interaction (TOCHI), Volume: 30, Nr. 2, P. 1-33
    DOI: 10.1145/3577010
    Project: RR-AI
  • Skerlj, Jon; Braun, Maximilian; Witz, Sophia; Breuer, Svenja; Bak, Marieke; Scholz, Sebastian; Naceri, Abdeldjallil; Müller, Ruth; Haddadin, Sami; Eisenberger, Iris (2023)

    Data Recording for Responsible Robotics

    Conference paper
    Proceedings of the 2023 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO), P. 103-109
    DOI: 10.1109/arso56563.2023.10187414
    Project: RR-AI
  • Braun, Maximilian; Breuer, Svenja; Tigard, Daniel; Müller, Ruth (2022)

    Embedded Ethics and Social Sciences in HRI Research: Scenarios and Subjectivities

    Conference paper
    Proceedings of Re-configuring Human-Robot Interaction (HRI 2022), P. 1-4
    Project: RR-AI
  • McLennan, Stuart; Fiske, Amelia; Tigard, Daniel W.; Müller, Ruth; Haddadin, Sami; Buyx, Alena (2022)

    Embedded ethics: a proposal for integrating ethics into the development of medical AI

    Journal article
    BMC Medical Ethics, Volume: 23, Nr. 1, P. 6
    DOI: 10.1186/s12910-022-00746-3
    Project: RR-AI
  • Braun, Maximilian; Breuer, Svenja; Tigard, Daniel; Müller, Ruth (2022)

    Embedded Ethics and Social Sciences

    Conference paper
    Proceedings of ACM/IEEE International Conference on Human-Robot 2022
    Project: RR-AI
  • McLennan, Stuart; Fiske, Amelia; Celi, Leo Anthony; Müller, Ruth; Harder, Jan; Ritt, Konstantin; Haddadin, Sami; Buyx, Alena (2020)

    An embedded ethics approach for AI development

    Journal article
    Nat Mach Intell (Nature Machine Intelligence), Volume: 2, Nr. 9, P. 488-490
    DOI: 10.1038/s42256-020-0214-1
    Project: RR-AI
  • Fiske, Amelia; Tigard, Daniel; Müller, Ruth; Haddadin, Sami; Buyx, Alena; McLennan, Stuart (2020)

    Embedded Ethics Could Help Implement the Pipeline Model Framework for Machine Learning Healthcare Applications.

    Journal article
    The American journal of bioethics : AJOB, Volume: 20, Nr. 11, P. 32-35
    DOI: 10.1080/15265161.2020.1820101
    Project: RR-AI