- Understanding AI Fundamentals. How AI and machine learning models are trained, what they can and cannot do, and how to critically evaluate AI-generated outputs
- AI in Clinical and Research Settings. Real-world applications of AI in healthcare, including decision support tools, diagnostic algorithms, and considerations for responsible implementation
- Ethics, Bias, and Data Privacy. How bias enters AI systems, the ethical implications of AI-driven decisions, and best practices for protecting patient data
ViVE’s AI Literacy workshops provide foundational AI knowledge, fostering confident, informed decision-making and responsible adoption of AI tools across clinical and research environments.
