Benefits, Implications and Ethical Concerns of Machine Learning Tools Serving Mental Health Purposes

Patricia Gamboa; Cláudia Quaresma; Rui Varandas; Hugo Gamboa

doi:10.1007/978-3-030-78288-7_27

Benefits, Implications and Ethical Concerns of Machine Learning Tools Serving Mental Health Purposes

Patricia Gamboa, Cláudia Quaresma, Rui Varandas, Hugo Gamboa

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

Abstract

In recent years, Healthcare and Mental Health have been in the spotlight for the creation of tools using Artificial Intelligence (AI). Mental Health technologies have proliferated in the last years, from social robotics to self-help tools and internet-based intervention programs. In particular, machine learning algorithms have been embedded into applications, for example, to provide a probability or classification regarding risk behaviours (e.g., suicide prevention tools). This paper reflects on the use of AI applied in mental healthcare tools, to assist clinicians in diagnosis, differential diagnosis and monitoring of patients with brain-related disorders. Benefits regarding the use of these technologies in mental healthcare will be discussed as well as some limitations and ethical concerns.

Original language	English
Title of host publication	Technological Innovation for Applied AI Systems - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Proceedings
Editors	Luis M. Camarinha-Matos, Pedro Ferreira, Guilherme Brito
Place of Publication	Cham
Publisher	Springer
Pages	285-294
Number of pages	10
ISBN (Electronic)	978-3-030-78288-7
ISBN (Print)	978-3-030-78287-0
DOIs	https://doi.org/10.1007/978-3-030-78288-7_27
Publication status	Published - 2021
Event	12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021 - Costa de Caparica and Online, Portugal Duration: 7 Jul 2021 → 9 Jul 2021

Publication series

Name	IFIP Advances in Information and Communication Technology
Publisher	Springer
Volume	626
ISSN (Print)	1868-4238
ISSN (Electronic)	1868-422X

Conference

Conference	12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021
Country/Territory	Portugal
City	Costa de Caparica and Online
Period	7/07/21 → 9/07/21

Keywords

Artificial Intelligence
Healthcare technologies
Machine Learning
Mental health

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-78288-7_27

Cite this

Gamboa, P., Quaresma, C., Varandas, R., & Gamboa, H. (2021). Benefits, Implications and Ethical Concerns of Machine Learning Tools Serving Mental Health Purposes. In L. M. Camarinha-Matos, P. Ferreira, & G. Brito (Eds.), Technological Innovation for Applied AI Systems - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Proceedings (pp. 285-294). (IFIP Advances in Information and Communication Technology; Vol. 626). Springer. https://doi.org/10.1007/978-3-030-78288-7_27

Gamboa, Patricia ; Quaresma, Cláudia ; Varandas, Rui et al. / Benefits, Implications and Ethical Concerns of Machine Learning Tools Serving Mental Health Purposes. Technological Innovation for Applied AI Systems - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Proceedings. editor / Luis M. Camarinha-Matos ; Pedro Ferreira ; Guilherme Brito. Cham : Springer, 2021. pp. 285-294 (IFIP Advances in Information and Communication Technology).

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Gamboa, P , Quaresma, C , Varandas, R & Gamboa, H 2021, Benefits, Implications and Ethical Concerns of Machine Learning Tools Serving Mental Health Purposes. in LM Camarinha-Matos, P Ferreira & G Brito (eds), Technological Innovation for Applied AI Systems - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Proceedings. IFIP Advances in Information and Communication Technology, vol. 626, Springer, Cham, pp. 285-294, 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Costa de Caparica and Online, Portugal, 7/07/21. https://doi.org/10.1007/978-3-030-78288-7_27

Benefits, Implications and Ethical Concerns of Machine Learning Tools Serving Mental Health Purposes. / Gamboa, Patricia ; Quaresma, Cláudia ; Varandas, Rui et al.

Technological Innovation for Applied AI Systems - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Proceedings. ed. / Luis M. Camarinha-Matos; Pedro Ferreira; Guilherme Brito. Cham : Springer, 2021. p. 285-294 (IFIP Advances in Information and Communication Technology; Vol. 626).

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

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AU - Quaresma, Cláudia

AU - Varandas, Rui

AU - Gamboa, Hugo

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AB - In recent years, Healthcare and Mental Health have been in the spotlight for the creation of tools using Artificial Intelligence (AI). Mental Health technologies have proliferated in the last years, from social robotics to self-help tools and internet-based intervention programs. In particular, machine learning algorithms have been embedded into applications, for example, to provide a probability or classification regarding risk behaviours (e.g., suicide prevention tools). This paper reflects on the use of AI applied in mental healthcare tools, to assist clinicians in diagnosis, differential diagnosis and monitoring of patients with brain-related disorders. Benefits regarding the use of these technologies in mental healthcare will be discussed as well as some limitations and ethical concerns.

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Gamboa P , Quaresma C , Varandas R , Gamboa H. Benefits, Implications and Ethical Concerns of Machine Learning Tools Serving Mental Health Purposes. In Camarinha-Matos LM, Ferreira P, Brito G, editors, Technological Innovation for Applied AI Systems - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Proceedings. Cham: Springer. 2021. p. 285-294. (IFIP Advances in Information and Communication Technology). https://doi.org/10.1007/978-3-030-78288-7_27

Benefits, Implications and Ethical Concerns of Machine Learning Tools Serving Mental Health Purposes

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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