Ethical considerations for AI-driven adaptive virtual environments in XR training for first responders: An industry perspective

Olivia Zechner; Daniele Pretolesi; Emma Jaspaert; Daniel  García Guirao; Manfred Tscheligi

doi:10.1109/MetroXRAINE58569.2023.10405605

Ethical considerations for AI-driven adaptive virtual environments in XR training for first responders: An industry perspective

Olivia Zechner, Daniele Pretolesi, Emma Jaspaert, Daniel García Guirao, Manfred Tscheligi

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering
Publisher	IEEE
Pages	775-780
Number of pages	6
ISBN (Print)	979-8-3503-0080-2
DOIs	https://doi.org/10.1109/MetroXRAINE58569.2023.10405605
Publication status	Published - 1 Feb 2024

Keywords

Artificial Intelligence
Automated Systems
Biofeedback
Machine Learning
Virtual Reality

Access to Document

10.1109/MetroXRAINE58569.2023.10405605

Cite this

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 (pp. 775-780). IEEE. https://doi.org/10.1109/MetroXRAINE58569.2023.10405605

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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.",

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author = "Olivia Zechner and Daniele Pretolesi and Emma Jaspaert and {Garc{\'i}a Guirao}, Daniel and Manfred Tscheligi",

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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

Ethical considerations for AI-driven adaptive virtual environments in XR training for first responders: An industry perspective. / Zechner, Olivia; Pretolesi, Daniele; Jaspaert, Emma et al.
Proceedings of 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering. IEEE, 2024. p. 775-780.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

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Zechner O, Pretolesi D, Jaspaert E, García Guirao D, Tscheligi M. 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. 2024. p. 775-780 doi: 10.1109/MetroXRAINE58569.2023.10405605

Ethical considerations for AI-driven adaptive virtual environments in XR training for first responders: An industry perspective

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