Vol. 2 No. 2 (2025): International Conference on Advanced Multidisiplinary Studies (IConAIS 2024)
Articles

Generative IA and Sustainable Development: Psychology Applications, Challenges and Innovations

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  • Mein Woei Suen
Mein Woei Suen
Department of Psychology, Asia University, Taiwan

Published 2025-07-30

Keywords

  • Generative IA, Sustainable Development, Psychology Applications, Challenges, Innovation

Copyright (c) 2025 Mein-Woei Suen (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Generative AI is a branch of artificial intelligence that has the ability to independently generate new content, such as text, images, audio, and video. Some popular generative AI models include GPT-3, GPT-4, and DALL-E. One of the pressing issues is mental health, where more than 1 billion people worldwide have mental health disorders. In Indonesia, only 2% of patients receive professional treatment, reflecting a large mental health service gap. Furthermore, gender equality still faces significant barriers, with the World Economic Forum predicting that global gender equality will be achieved in 135 years.  The main objective of this research is to identify and analyze previous studies related to generative AI and sustainable development, as well as how psychology applications can be used in these contexts, identify challenges, and discover innovations emerging from the use of AI in the fields of mental health, education and gender equality. This research used a descriptive qualitative approach, utilizing a literature review. The findings of this study explain that in the mental health sector, AI can improve access to care through remote diagnosis despite concerns regarding privacy and potential bias. In education, AI can improve student learning outcomes by up to 30% and expand access to quality education, especially for those living in remote areas. In gender equality, AI can play a role in detecting and reducing gender bias in hiring and promotions, as well as fighting discrimination against the LGBTQ+ community. It can also enrich gender diversity education, improving students' understanding of diversity and inclusion. However, challenges related to data privacy, bias, and potential misuse of the technology still need serious attention to ensure its fair and beneficial use.

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