Building AI into Medical Education (Concurrent Session)-Building AI into Medical Education

Building AI into Medical Education - PPT Presentation

Pdf Summary

The document outlines key considerations and best practices in integrating AI into instructional design for medical education, particularly focusing on addiction medicine as championed by ASAM. The session aims to educate professionals about the opportunities AI presents for enhancing content creation, improving educational quality, and addressing repetitive tasks in medical education. It highlights multiple AI tools that aid video and image enhancement, streamline audio editing, and generate custom visual content.<br /><br />AI technologies such as Descript, Capcut, Topaz, and ElevenLabs are showcased for their capabilities in enhancing video quality, ensuring consistent audio, and simplifying the production process. Furthermore, innovative tools like Canva and DALL-E are discussed for creating tailored visuals that align with educational content.<br /><br />The document also addresses challenges associated with AI integration, including privacy concerns with voice cloning, managing biases from AI-generated content, balancing AI automation with human expertise, and ensuring accessibility of AI outputs. Solutions like requiring explicit consent, conducting bias audits, and thorough accessibility checks are emphasized to mitigate these challenges.<br /><br />Finally, the document stresses the importance of ethical considerations in AI use, promoting privacy, bias reduction, and inclusivity. The overarching message is to embrace AI for its efficiency while maintaining the critical role of human expertise in instructional design. It encourages professionals to stay proactive and agile as AI technology evolves, leveraging AI to streamline processes and enhance educational experiences while upholding ethical standards.

Keywords

AI integration

instructional design

medical education

addiction medicine

ASAM

AI tools

video enhancement

privacy concerns

ethical considerations

human expertise