Ethical Considerations While Using Large Language Models-View Presentation Slides

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The document outlines a comprehensive exploration of the impact of Artificial Intelligence (AI) in child and adolescent psychiatry and mental health treatment, authored by Monika Roots, MD, FAPA. It emphasizes the transformative potential AI holds in enhancing mental health services for the youth through applications such as assessment, diagnosis, treatment planning, and intervention delivery. <br /><br />AI in healthcare can operate at both assisted and autonomous levels, using technologies like machine learning, natural language processing, and computer vision to improve accuracy and predict outcomes. Specific attention is given to AI's benefits in early detection and diagnosis of mental health disorders, personalized treatment planning, and fostering continuous monitoring and interventions. Chatbots and virtual therapists are also highlighted as innovative tools that provide constant support.<br /><br />The utilization of AI technologies in mental health care brings terms like voice analysis, predictive analytics, and sentiment analysis into focus, facilitating enhanced support and resource accessibility for therapists and clinicians.<br /><br />Challenges in integrating AI in mental health treatments are acknowledged, particularly focusing on ethical concerns regarding privacy, data security, algorithmic fairness, and socioeconomic inequalities. The document stresses the need for fairness and unbiased application of AI technologies, promoting a balance between artificial intelligence and human intervention to maintain a patient-centered approach.<br /><br />The document also discusses various AI applications through real-world examples and case studies, especially in diagnosing and managing autism spectrum disorders (ASD) and attention-deficit/hyperactivity disorder (ADHD). Wearable devices and biosensors have showcased potential in anticipating behavioral issues and personalizing therapeutic approaches.<br /><br />Future advancements in AI promise to further refine mental health care practices but require ongoing research, ethical consideration, and integration with traditional methods to effectively address the complex needs of young mental health patients. The conclusion underscores AI’s significant and ongoing contributions to this field, advocating for innovation, collaboration, and continuous validation to enhance psychiatric services for children and adolescents.

Keywords

Artificial Intelligence

Child Psychiatry

Adolescent Mental Health

AI in Healthcare

Machine Learning

Ethical Concerns

Autism Spectrum Disorders

Attention-Deficit/Hyperactivity Disorder

Predictive Analytics

Virtual Therapists