Discussing the Intersection between Psychology, Health and Artificial Intelligence

Authors

DOI:

https://doi.org/10.14295/idonline.v18i74.4135

Keywords:

Artificial intelligence, Machine learning, Psychology, Health.

Abstract

Global technological evolution, despite it being essential that researchers and, more specifically, professionals are at the forefront of discussions, the arrival of Artificial Intelligence (AI) has caused a great social challenge.  In health-related issues, AI appears to have the potential to revolutionize the way we understand and address a range of psychological and health issues, from mental health care to understanding the complexities of cognition and other related matters. Machine learning algorithms can analyze large sets of information to make it possible to identify patterns and predict trends across a wide range of psychological and health conditions. This automated analysis capability not only speeds up the diagnostic process but can also provide invaluable insights into the mechanisms underlying a wide range of health disorders and diagnoses. Greater discussion on the implementation of AI in relation to the ethical factors involved is essential, as its high costs could impact on the health of users, which tends to increase inequality in access to quality health services, the poorest portion of the population.

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Author Biographies

Athena de Albuquerque Farias, Universidade do Minho

Advogada. Mestrado em Sustainable Development pela Università degli Studi di Milan, Milão, Itália. Doutoranda em Ciências da Educação pela Universidade do Minho - Portugal.

Gislene Farias de Oliveira, Universidade Federal do Cariri (UFCA)

Psicóloga. Pós-doutora em Psicologia Social. Professora Titular da Faculdade de Medicina da Universidade Federal do Cariri (UFCA).

References

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Published

2024-12-30

How to Cite

Farias, A. de A., & Oliveira, G. F. de. (2024). Discussing the Intersection between Psychology, Health and Artificial Intelligence. ID on Line. Revista De Psicologia, 18(74), 111–115. https://doi.org/10.14295/idonline.v18i74.4135

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Section

Editorial