Ethical Considerations for AI-Driven Adaptive Virtual Environments in XR Training for First Responders: An Industry Perspective

Olivia Zechner; Daniele Pretolesi; Emma Jaspaert; Daniel Garcia 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 (Speaker), Daniele Pretolesi, Emma Jaspaert, Daniel Garcia Guirao, Manfred Tscheligi

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

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	2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering. Proceedings
Subtitle of host publication	IEEE MetroXRAINE Milano 2023
Pages	775-780
ISBN (Electronic)	979-8-3503-0080-2
DOIs	https://doi.org/10.1109/MetroXRAINE58569.2023.10405605
Publication status	Published - Oct 2023
Event	2023 IEEE MetroXRAINE - International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering - Milano, Italy Duration: 25 Oct 2023 → 27 Oct 2023 https://metroxraine.org/

Conference

Conference	2023 IEEE MetroXRAINE - International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering
Abbreviated title	IEEE MetroXRAINE
Country/Territory	Italy
City	Milano
Period	25/10/23 → 27/10/23
Internet address	https://metroxraine.org/

Research Field

Experience Business Transformation
Former Research Field - Experience Measurement

Keywords

virtual reality
Biofeedback
artificial intelligence
machine learning
automated systems

Access to Document

10.1109/MetroXRAINE58569.2023.10405605

Cite this

Zechner, O., Pretolesi, D., Jaspaert, E., Garcia Guirao, D., & Tscheligi, M. (2023). Ethical Considerations for AI-Driven Adaptive Virtual Environments in XR Training for First Responders: An Industry Perspective. In 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering. Proceedings: IEEE MetroXRAINE Milano 2023 (pp. 775-780) https://doi.org/10.1109/MetroXRAINE58569.2023.10405605

Zechner, Olivia ; Pretolesi, Daniele ; Jaspaert, Emma et al. / Ethical Considerations for AI-Driven Adaptive Virtual Environments in XR Training for First Responders: An Industry Perspective. 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering. Proceedings: IEEE MetroXRAINE Milano 2023. 2023. pp. 775-780

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title = "Ethical Considerations for AI-Driven Adaptive Virtual Environments in XR Training for First Responders: An Industry Perspective",

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 theneeds 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{\textquoteright}s overall well-being.",

keywords = "virtual reality, Biofeedback, artificial intelligence, machine learning, automated systems",

author = "Olivia Zechner and Daniele Pretolesi and Emma Jaspaert and {Garcia Guirao}, Daniel and Manfred Tscheligi",

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month = oct,

doi = "10.1109/MetroXRAINE58569.2023.10405605",

language = "English",

isbn = "979-8-3503-0081-9",

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Zechner, O, Pretolesi, D, Jaspaert, E, Garcia Guirao, D & Tscheligi, M 2023, Ethical Considerations for AI-Driven Adaptive Virtual Environments in XR Training for First Responders: An Industry Perspective. in 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering. Proceedings: IEEE MetroXRAINE Milano 2023. pp. 775-780, 2023 IEEE MetroXRAINE - International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering , Milano, Italy, 25/10/23. 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 (Speaker); Pretolesi, Daniele; Jaspaert, Emma et al.
2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering. Proceedings: IEEE MetroXRAINE Milano 2023. 2023. p. 775-780.

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

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AU - Pretolesi, Daniele

AU - Jaspaert, Emma

AU - Garcia Guirao, Daniel

AU - Tscheligi, Manfred

A2 - Zechner, Olivia

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PY - 2023/10

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AB - 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 theneeds 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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KW - machine learning

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Zechner O, Pretolesi D, Jaspaert E, Garcia Guirao D, Tscheligi M. Ethical Considerations for AI-Driven Adaptive Virtual Environments in XR Training for First Responders: An Industry Perspective. In 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering. Proceedings: IEEE MetroXRAINE Milano 2023. 2023. 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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Keywords

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