TY - GEN
T1 - Data Recording for Responsible Robotics
AU - Skerlj, Jon
AU - Braun, Maximilian
AU - Witz, Sophia
AU - Breuer, Svenja
AU - Bak, Marieke
AU - Scholz, Sebastian
AU - Naceri, Abdeldjallil
AU - Muller, Ruth
AU - Haddadin, Sami
AU - Eisenberger, Iris
N1 - Funding Information: *We gratefully acknowledge the financial support by the Bavarian Institute for Digital Transformation for our project “Responsible Robotics (RR-AI): Tracing Ethical and Social Aspects of AI-Based Transformations in Healthcare Work and Knowledge Environments”. We gratefully acknowledge the funding of the Lighthouse Initiative Geriatronics by LongLeif GaPa gGmbH (Project Y). Please note that S. Haddadin has a potential conflict of interest as shareholder of Franka Emika GmbH. Publisher Copyright: © 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The last decades have seen continuous attempts to advance the application of robotics and artificial intelligence (AI) research in several areas such as healthcare environments. However, using (semi)autonomous robots in healthcare also poses risks that need to be addressed throughout the systems' lifecycle. In this work, we present our version of a data recorder, as the output of an interdisciplinary research collaboration that addresses relevant social, ethical, legal, and technical aspects of advanced robotics in healthcare. We use social science insights from interviews and ethnographic fieldwork with relevant stakeholders as well as ethical and legal analyses to derive and implement four technical requirements for a data recorder to enhance accountability and transparency of a service humanoid robot, GARMI, assisting in healthcare. We present a tool to log and visualize data from human-robot interactions as a means of including non-expert users and other relevant stakeholders in accountability relationships, which also helps us to enhance the transparency of advanced robotics in general and to fulfill the examined requirements of the Medical Device Regulation (MDR) and the General Data Protection Regulation (GDPR).
AB - The last decades have seen continuous attempts to advance the application of robotics and artificial intelligence (AI) research in several areas such as healthcare environments. However, using (semi)autonomous robots in healthcare also poses risks that need to be addressed throughout the systems' lifecycle. In this work, we present our version of a data recorder, as the output of an interdisciplinary research collaboration that addresses relevant social, ethical, legal, and technical aspects of advanced robotics in healthcare. We use social science insights from interviews and ethnographic fieldwork with relevant stakeholders as well as ethical and legal analyses to derive and implement four technical requirements for a data recorder to enhance accountability and transparency of a service humanoid robot, GARMI, assisting in healthcare. We present a tool to log and visualize data from human-robot interactions as a means of including non-expert users and other relevant stakeholders in accountability relationships, which also helps us to enhance the transparency of advanced robotics in general and to fulfill the examined requirements of the Medical Device Regulation (MDR) and the General Data Protection Regulation (GDPR).
KW - HRI and social robotics
KW - Legal and ethical regulations
KW - medical and healthcare robotics
UR - http://www.scopus.com/inward/record.url?scp=85166961621&partnerID=8YFLogxK
U2 - https://doi.org/10.1109/ARSO56563.2023.10187414
DO - https://doi.org/10.1109/ARSO56563.2023.10187414
M3 - Conference contribution
VL - 2023-June
T3 - Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO
SP - 103
EP - 109
BT - 2023 IEEE International Conference on Advanced Robotics and Its Social Impacts, ARSO 2023
PB - IEEE Computer Society
T2 - 2023 IEEE International Conference on Advanced Robotics and Its Social Impacts, ARSO 2023
Y2 - 5 June 2023 through 7 June 2023
ER -