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Speaker: Patrick Elder (ECS Federal)

Abstract:

In the era of Artificial Intelligence (AI) and machine learning, decision makers and decision analysts can be caught between the desire to leverage new technologies and the seemingly inherent opacity that comes with complex models. Without the ability to explain and ultimately justify the decision based on the results from AI models, these end-users can feel like passengers on a journey without a clear understanding of the route or destination. However, the advent of Explainable AI (XAI) promises to transform this landscape by providing transparency and interpretability in AI systems.

This session briefing at the Society of Decision Professionals Conference will delve into the thought-provoking article titled "Explainable AI: How XAI Puts the End User Back in the Driver's Seat" (https://ecstech.com/ecs-insight/blog/explainable-ai-how-xai-puts-the-end-user-back-in-the-drivers-seat/), authored by industry expert Patrick Elder. The session with explore concepts discussed in the article and how they can be applied to AI to improve the ability of decision makers and decision analysts to use these technologies appropriately and improve decision quality.

Join us in this illuminating session to gain a deeper understanding of how Explainable AI can help decision-making process improvement without sacrificing traceability. Whether you are a decision professional, data scientist, or simply interested in the transformative power of AI, this session promises to provide valuable insights and foster meaningful discussions on the future of responsible AI adoption.