AI-Assisted Empathetic Chatbots for PTSD Support: Evaluating Small Language Models with Diverse Trauma Profiles

About the Course:

This groundbreaking webinar examines the intersection of artificial intelligence, empathy, and trauma recovery. Participants will explore how small language models (SLMs) can be designed and evaluated to provide emotionally supportive, trauma-informed interactions for PTSD survivors. Through discussions of AI ethics, evaluation frameworks, and diverse trauma profiles, the session will highlight how technology can augment, not replace, human compassion in mental health care. Experts will share strategies for responsible AI development, evaluation methods, and real-world applications in both clinical and community contexts.

Course Objectives:

• Understand the potential of small language models (SLMs) in supporting PTSD recovery.
• Explore trauma-informed principles for designing empathetic AI systems.
• Evaluate AI chatbot performance across diverse trauma profiles and cultural contexts.
• Identify ethical considerations and risks in deploying AI for mental health support.
• Learn practical methods for integrating chatbots into trauma-informed care ecosystems.
• Discuss the future of human-AI collaboration in emotional and psychological support.

Who is the Target Audience:

• Mental health professionals and trauma counselors.
• AI researchers, developers, and UX designers.
• Ethicists and policymakers in digital health.
• Nonprofit and community health program leaders.
• Students and academics in psychology, AI ethics, or human-computer interaction.
• Survivor advocates and trauma-informed technology practitioners.

Basic Knowledge:

• No prior technical background required. Open to all interested in trauma recovery, ethical AI design, or digital mental health innovation.