Understanding The Role of Artificial Intelligence in Reducing Mental Health Stigma and Improving Public Awareness
Keywords:
Artificial Intelligence, Mental Health Stigma, Public Awareness, Natural Language Processing, Machine Learning, Ethical ConcernsAbstract
Artificial Intelligence functions as a transformative medical technology that shows great promise for mental health services particularly in fighting mental illness stigma. The research focuses on examining how AI technologies encompassing natural language processing (NLP) and machine learning function to diminish mental health stigma together with boosting public awareness levels. AI platforms using virtual assistants together with chatbots ensure accessible personalized care through confidentiality that enables people to seek advice without social stigmatization. The applications of AI technology leads to better medical diagnoses that result in higher quality treatment decisions for mental health care services. Significant barriers block the way for ethical development because they include issues about data privacy and potential algorithmic bias as well as concerns about technological dependence. This research studies AI's function to combat these obstacles by discussing its impact on breaking stigma, achieving better public mental health comprehension and implementing supportive care systems that welcome patients suffering from mental health conditions
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Copyright (c) 2025 International Journal of Artificial Intelligence and Cybersecurity
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This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles published in the International Journal of Artificial Intelligence and Cybersecurity (IJAIC) are licensed under a Creative Commons Attribution 4.0 International License. This license permits unrestricted use, sharing, adaptation, distribution, and reproduction in any medium or format, provided appropriate credit is given to the original author(s) and the source, with a link to the license and an indication if changes were made.