Ethical considerations for AI-driven adaptive virtual environments in XR training for first responders: An industry perspective
Zechner,Olivia Pretolesi,Daniele Jaspaert,Emma García Guirao,Daniel Tscheligi,Manfred
Zechner,Olivia
Pretolesi,Daniele
Jaspaert,Emma
García Guirao,Daniel
Tscheligi,Manfred
Abstract
Artificial Intelligence has the potential to revolutionize the field of extended reality training for first responders. AI-driven adaptive virtual environments can enhance the effectiveness of training programs by automatically adapting to the needs and performance of individual learners. However, the use of AI in XR training raises important ethical concerns that must be addressed to ensure the safety, privacy and well-being of trainees. In this manuscript, we explore current European legal and ethical frameworks applicable to AI, XR and physiological data usage, and discuss their relevance and application challenges within the XR training sector. We draw on insights from the Horizon 2020 research projects Shotpros and MED1stMR to demonstrate the complexity of this topic with some tangible examples and discuss potential mitigating factors to minimize risks and ensure trainee's overall well-being.
Description
Date
2024-02-01
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Publisher
IEEE
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Keywords
Artificial Intelligence, Automated Systems, Biofeedback, Machine Learning, Virtual Reality, SDG 4 - Quality Education
Citation
Zechner, O, Pretolesi, D, Jaspaert, E, García Guirao, D & Tscheligi, M 2024, Ethical considerations for AI-driven adaptive virtual environments in XR training for first responders : An industry perspective. in Proceedings of 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering. IEEE, pp. 775-780. https://doi.org/10.1109/MetroXRAINE58569.2023.10405605