Maximilian Braun

Doctoral Researcher, Munich Center for Technology in Society (MCTS) | Technical University of Munich

Maximilian Braun is a doctoral researcher at the Munich Center for Technology in Society (MCTS), Technical University of Munich. He is also an MCTS alumnus (RESET M.A.) and holds a Bachelor’s degree in Industrial Engineering. His key interest is how different forms of governance and interdisciplinary collaboration influence and affect AI research practices.

maximilian.braun@tum.de
Profile
Participations and Contributions
Publications
Participations and Contributions
All posts
Digital society

Robots

Glossary

The definition of the term robot goes beyond a strictly technical understanding. Instead, robots are rather perceived as autonomous, socio-technical machines.

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.

Digital responsibility

Embedding ethics into every step of emerging technologies

Blog
8 March 2021

What exactly does it mean to ‘embed’ ethics into technology and how can this be effectively accomplished? Here we outline our Responsible Robotics project, along with some challenges and benefits of the embedded ethics…

Publications

  • 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
  • Tigard, Daniel W.; Braun, Maximilian; Breuer, Svenja; Ritt, Konstantin; Fiske, Amelia; McLennan, Stuart; Buyx, Alena (2023)

    Toward Best Practices in Embedded Ethics: Suggestions for Interdisciplinary Technology Development

    Journal article
    Robotics and Autonomous Systems, Volume: 167, Nr. 104467
    DOI: 10.1016/j.robot.2023.104467
    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
  • 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
  • Ritt, Konstantin; Breuer, Svenja; Braun, Maximilian (2021)

    Responsible Robotics: Im Tanz der Akzeptanz?

    Journal article
    VDI/VDE, Technik in Bayern, Nr. 2, P. 26-27
    Project: RR-AI
  • Breuer, Svenja; Braun, Maximilian; Ritt, Konstantin; Tigard, Daniel (2021)

    Embedding Ethics and Social Science Into Telemedicine Research, Development, and Implementation

    Conference paper
    ACM, Proceedings of Realizing AI in Healthcare: Challenges Appearing in the Wild (CHI 2021), P. 1-6, New York, NY, USA
    Project: RR-AI
  • Tigard, Daniel; Ritt, Konstantin; Breuer, Svenja; Braun, Maximilian (2021)

    Embedding ethics into every step of emerging technologies

    Internet document
    bidt, bidt blog
    Project: RR-AI
  • Braun, Maximilian; Breuer, Svenja; Tigard, Daniel; Upperton, T.

    Responsible Robotics. Die Rolle von Robotik im Gesundheitswesen

    Grey literature / report
    bidt, bidt Magazin, Nr. 2
    Project: RR-AI