» Articles » PMID: 39156807

War, Emotions, Mental Health, and Artificial Intelligence

Overview
Journal Front Psychol
Date 2024 Aug 19
PMID 39156807
Authors
Affiliations
Soon will be listed here.
Abstract

During the war time dysregulation of negative emotions such as fear, anger, hatred, frustration, sadness, humiliation, and hopelessness can overrule normal societal values, culture, and endanger global peace and security, and mental health in affected societies. Therefore, it is understandable that the range and power of negative emotions may play important roles in consideration of human behavior in any armed conflict. The estimation and assessment of dominant negative emotions during war time are crucial but are challenged by the complexity of emotions' neuro-psycho-physiology. Currently available natural language processing (NLP) tools have comprehensive computational methods to analyze and understand the emotional content of related textual data in war-inflicted societies. Innovative AI-driven technologies incorporating machine learning, neuro-linguistic programming, cloud infrastructure, and novel digital therapeutic tools and applications present an immense potential to enhance mental health care worldwide. This advancement could make mental health services more cost-effective and readily accessible. Due to the inadequate number of psychiatrists and limited psychiatric resources in coping with mental health consequences of war and traumas, new digital therapeutic wearable devices supported by AI tools and means might be promising approach in psychiatry of future. Transformation of negative dominant emotional maps might be undertaken by the simultaneous combination of online cognitive behavioral therapy (CBT) on individual level, as well as usage of emotionally based strategic communications (EBSC) on a public level. The proposed positive emotional transformation by means of CBT and EBSC may provide important leverage in efforts to protect mental health of civil population in war-inflicted societies. AI-based tools that can be applied in design of EBSC stimuli, like Open AI Chat GPT or Google Gemini may have great potential to significantly enhance emotionally based strategic communications by more comprehensive understanding of semantic and linguistic analysis of available text datasets of war-traumatized society. Human in the loop enhanced by Chat GPT and Gemini can aid in design and development of emotionally annotated messages that resonate among targeted population, amplifying the impact of strategic communications in shaping human dominant emotional maps into a more positive by CBT and EBCS.

Citing Articles

Innovative technologies to address neglected tropical diseases in African settings with persistent sociopolitical instability.

Manyazewal T, Davey G, Hanlon C, Newport M, Hopkins M, Wilburn J Nat Commun. 2024; 15(1):10274.

PMID: 39604349 PMC: 11603293. DOI: 10.1038/s41467-024-54496-4.

References
1.
Jain N, Prasad S, Czarth Z, Chodnekar S, Mohan S, Savchenko E . War Psychiatry: Identifying and Managing the Neuropsychiatric Consequences of Armed Conflicts. J Prim Care Community Health. 2022; 13:21501319221106625. PMC: 9218442. DOI: 10.1177/21501319221106625. View

2.
Lekkas D, Jacobson N . Using artificial intelligence and longitudinal location data to differentiate persons who develop posttraumatic stress disorder following childhood trauma. Sci Rep. 2021; 11(1):10303. PMC: 8119967. DOI: 10.1038/s41598-021-89768-2. View

3.
Cosic K, Popovic S, Wiederhold B . Enhancing Aviation Safety through AI-Driven Mental Health Management for Pilots and Air Traffic Controllers. Cyberpsychol Behav Soc Netw. 2024; 27(8):588-598. DOI: 10.1089/cyber.2023.0737. View

4.
Kisley M, Shulkin J, Meza-Whitlatch M, Pedler R . Emotion beliefs: conceptual review and compendium. Front Psychol. 2024; 14:1271135. PMC: 10794336. DOI: 10.3389/fpsyg.2023.1271135. View

5.
Kopilas V, Hasratian A, Martinelli L, Ivkic G, Brajkovic L, Gajovic S . Self-Perceived Mental Health Status, Digital Activity, and Physical Distancing in the Context of Lockdown Versus Not-in-Lockdown Measures in Italy and Croatia: Cross-Sectional Study in the Early Ascending Phase of the COVID-19 Pandemic in March 2020. Front Psychol. 2021; 12:621633. PMC: 7890192. DOI: 10.3389/fpsyg.2021.621633. View