This webinar explores the critical, yet often overlooked, intersection of human cognitive bias and artificial intelligence in modern project management. While cognitive biases—those systematic errors in thinking that affect our decisions—are not new to project professionals, the rise of AI, particularly generative AI, has amplified their impact. When AI systems are trained on biased data or developed with biased assumptions, they can automate and scale these errors, leading to flawed forecasts, resource misallocation, and project failures. In generative AI projects, this bias can manifest as misrepresentations, hallucinations, or unethical outputs, directly impacting the quality and reliability of the final product.
Learning Objectives
This webinar explores the critical, yet often overlooked, intersection of human cognitive bias and artificial intelligence in modern project management. While cognitive biases—those systematic errors in thinking that affect our decisions—are not new to project professionals, the rise of AI, particularly generative AI, has amplified their impact. When AI systems are trained on biased data or developed with biased assumptions, they can automate and scale these errors, leading to flawed forecasts, resource misallocation, and project failures. In generative AI projects, this bias can manifest as misrepresentations, hallucinations, or unethical outputs, directly impacting the quality and reliability of the final product.
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