Artificial intelligence (AI) has emerged as a transformative tool in healthcare and scientific research, offering unprecedented opportunities to enhance evidence-based practice through improved data analysis, decision support, and predictive modeling. However, the integration of AI into research and clinical settings raises critical ethical, methodological, and practical challenges that necessitate a responsible approach to its deployment. This session aims to explore strategies, frameworks, and best practices to ensure the ethical and effective use of AI in evidence-based practice and research.