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Psychological AI: A critical analysis of capabilities, limitations, and ramifications
- 1 Lanzhou Jiaotong University
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Abstract
As artificial intelligence (AI) continues to advance, machine learning and natural language processing (NLP) offer new possibilities in various areas of psychology, such as therapy, diagnostics, treatment planning, demographic profiling, sentiment analysis, and consumer psychology. However, AI research in psychology is still lacking. This study aims to explore the specific applications of AI in the field of psychology. Firstly, the article delves into the efficacy and cost-effectiveness of chatbots in delivering cognitive behavioral therapy (CBT). Next, the article explores the current state of AI in detecting mental health disorders, highlighting the use of digital footprints as a diagnostic tool. Furthermore, the research investigates how AI can assist medical professionals in developing focused treatment plans. It analyzes studies that aim to optimize treatment strategies using AI technologies. The article also examines the influence of demographic characteristics on our understanding and application of psychology. Lastly, the article touches on the use of AI in analyzing sentiment to understand and predict consumer behavior. Ethical implications of using AI-driven psychological assessments are also discussed. It concludes with a summary of key findings and offers a glimpse into potential future developments in this field.
Keywords
Psychotherapy, Ethics, Privacy, Sentiment analysis, Predictive modeling
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Cite this article
Wang,B. (2024). Psychological AI: A critical analysis of capabilities, limitations, and ramifications. Applied and Computational Engineering,53,205-212.
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Volume title: Proceedings of the 4th International Conference on Signal Processing and Machine Learning
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