This webinar explores how UX design can shape more accessible and effective AI systems for mental health support, particularly for underserved communities. It highlights key challenges such as limited access to care, cost barriers, low digital literacy, and lack of continuous support. The session introduces a practical UX framework for designing AI-driven mental health tools that are simple, scalable, and ethically designed to support users beyond traditional clinical settings. The talk bridges research and real-world application, showing how designers can create systems that meaningfully improve access and engagement.
Key Takeaways:
– Identify key access and usability gaps in current AI mental health tools
– Understand barriers such as cost, availability, and digital accessibility
– Learn a UX framework for designing low-barrier, scalable AI systems
– Apply practical UI/UX strategies for building simple and ethical AI experiences
– Translate research insights into real-world, impactful solutions
