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Cognitive Clarity: Learning Unbiased Decision-Making and Critical Thinking from AI Conversational Avatars

  • Fernando Salvetti,
  • Barbara Bertagni,
  • Ianna Contardo

摘要

In the age of digital education, fostering unbiased decision-making and critical thinking is pivotal. e-REAL labs have innovated a method using AI conversational avatars to train these skills effectively. These avatars engage learners in realistic scenarios to challenge cognitive biases and promote multidimensional thinking. They act as dynamic learning tools, simulating complex situations for critical examination, thereby helping users to recognize and mitigate their personal biases. This article elaborates on the design and efficacy of these AI avatars in enhancing decision-making in sectors where judgment is paramount. Furthermore, it explores the potential of these avatars in shaping organizational decision-making frameworks, highlighting the broader implications for achieving unbiased and equitable decisions in professional practices.