As payers adopt artificial intelligence (AI) technologies in different aspects of healthcare operations, there is a need for AI governance and the careful vetting of vendor AI practices to safeguard patient welfare. AI solutions can offer valuable decision support to create efficiencies at scale, timeliness, and accuracy. However, AI solutions should not run autonomously, nor should the final result go unquestioned. It is essential that all stakeholders understand how AI solutions draw their conclusions, what data sources inform the models, and the potential sources of biases that can occur. This level of critical thinking via human oversight is the crux of responsible AI principles: transparency, accountability, and safety.Tune in to this episode to hear the latest on: Current challenges using AI for decision supportResponsible AI principles The vital information needed for all stakeholdersWays to implement best practice processes for AI oversight The AI algorithm lawsuit that's shaking up the payer space About Our Guest:Sam Keith is an expert in data science, marketing, and analytics. He has over 18 years of experience working in the technology product space, leading product development teams and initiatives to support consumer engagement, user experience, digital experience, and operations. Sam has worked in healthcare, higher education, pharmaceutical, and network security industries and is particularly interested in digital accessibility practices. 

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