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 (Vortragende:r), Daniele Pretolesi, Emma Jaspaert, Daniel Garcia Guirao, Manfred Tscheligi

Experience Contexts & Tools

Publikation: Beitrag in Buch oder Tagungsband › Vortrag mit Beitrag in Tagungsband › Begutachtung

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.

Originalsprache	Englisch
Titel	2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering. Proceedings
Untertitel	IEEE MetroXRAINE Milano 2023
Seiten	775-780
ISBN (elektronisch)	979-8-3503-0080-2
DOIs	https://doi.org/10.1109/MetroXRAINE58569.2023.10405605
Publikationsstatus	Veröffentlicht - Okt. 2023
Veranstaltung	2023 IEEE MetroXRAINE - International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering - Milano, Italien Dauer: 25 Okt. 2023 → 27 Okt. 2023 https://metroxraine.org/

Konferenz

Konferenz	2023 IEEE MetroXRAINE - International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering
Kurztitel	IEEE MetroXRAINE
Land/Gebiet	Italien
Stadt	Milano
Zeitraum	25/10/23 → 27/10/23
Internetadresse	https://metroxraine.org/

Research Field

Former Research Field - Experience Business Transformation
Ehemaliges Research Field - Experience Measurement

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10.1109/MetroXRAINE58569.2023.10405605

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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 (S. 775-780) 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{\textquoteright}s overall well-being.",

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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. S. 775-780, 2023 IEEE MetroXRAINE - International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering , Milano, Italien, 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 (Vortragende:r); 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. S. 775-780.

Publikation: Beitrag in Buch oder Tagungsband › Vortrag mit Beitrag in Tagungsband › Begutachtung

TY - GEN

T1 - Ethical Considerations for AI-Driven Adaptive Virtual Environments in XR Training for First Responders: An Industry Perspective

AU - Pretolesi, Daniele

AU - Jaspaert, Emma

AU - Garcia Guirao, Daniel

AU - Tscheligi, Manfred

A2 - Zechner, Olivia

N1 - Q4/2023

PY - 2023/10

Y1 - 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 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.

KW - virtual reality

KW - Biofeedback

KW - artificial intelligence

KW - machine learning

KW - automated systems

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M3 - Conference Proceedings with Oral Presentation

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BT - 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering. Proceedings

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ER -

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. S. 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

Abstract

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Research Field

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