59 | Impactful Learning and the Bias in AI with Rebeqa Rivers

In this episode, I have the pleasure of speaking with Rebeqa Rivers, a Learning Experience Architect with over 18 years of experience in people development. Rebeqa is passionate about reimagining learning architecture to design the future of learning. She believes that the questions we ask shape the way we design, and she challenges traditional learning methods by focusing on how to equip learners to resolve their own obstacles. Her journey through grief, being neurodivergent, and teaching actual rockstars have deeply influenced her approach to learning design. With expertise in talent development, learning culture strategy, data analysis, and machine learning, Rebeqa applies science, data, and innovation to create impactful learning solutions with a heart. Throughout our conversation, Rebeqa shares her insights on the importance of asking the right questions, especially in the context of AI. We address topics such as understanding user needs, experimenting with learning systems, and the critical role curiosity plays in finding the right questions. Rebeqa also highlights the dangers of AI bias, particularly in medicine, due to incomplete data and feedback loops. By reframing questions like "What's the point?" to "How can I apply this?" she emphasizes the need to reevaluate relevance in learning and AI applications. What you'll learn in this episode: -How to ask the right questions in AI training -Designing learning systems that truly meet user needs -The power of curiosity in driving innovation -The impact of AI bias in various fields, including medicine -Strategies for continuous improvement with feedback loops Enjoy!