In this new module, students will engage with current issues surrounding the application of artificial intelligence (AI) methods in various domains impacting human health. Working in interdisciplinary teams, students will explore and critically evaluate controversial topics, examining AI techniques from diverse perspectives.

The course will address complex areas such as:

• AI in Healthcare: Exploring the application of AI-based technologies in healthcare settings, alongside their ethical, medical-legal, and data privacy implications.

• Technical Foundations and Feasibility: Analyzing the technical foundations of selected AI approaches and assessing their general viability and appropriateness within the medical field.

• AI in Diagnosis: Investigating the use of AI techniques in diagnosing psychological disorders (e.g., depression, dementia, suicidality) and physical conditions (e.g., Parkinson’s, heart disease) and discussing their potential implications.

• AI in Intervention and Therapy: Evaluating AI methods as supplementary or standalone intervention tools in social work, counseling, and psychotherapy (e.g., ecological momentary assessment, chatbots, text feedback) for the prevention and treatment of mental health issues.

• AI in Workforce Development: Examining the use of AI in employee selection and professional development.

• Digital Innovations and Mental Health: Critically assessing the impact of digital innovations on mental health in organizational settings, including issues like work-life blending and digital wellness, and developing recommendations for fostering healthier work environments.

• Evaluating Health Promotion in Organizations: Analyzing the effectiveness of tools and practices aimed at promoting mental health across different industries and addressing corporate responsibility in health promotion.

This new course, led by S. Mehl, M. Henninger and T. Gabel, offers a comprehensive, interdisciplinary exploration of AI's potential and challenges in health-related fields, fostering critical thinking and ethical consideration of AI's role in modern health solutions.