AI-Driven Avatars for Smarter Decisions: Reducing Bias and Strengthening Critical Thinking

As digital education evolves, AI-driven avatars become pivotal tools for enhancing decision-making skills. This paper presents an innovative approach leveraging intelligent conversational agents to cultivate critical thinking and mitigate cognitive biases. Through dynamic, scenario-based interactions, these avatars challenge assumptions, provide real-time feedback, and foster a deeper understanding of complex issues. The proposed framework integrates advanced generative AI models to reduce inherent biases, guiding learners through structured debiasing techniques such as the D.E.B.I.A.S. mnemonic. This scalable solution enhances decision-making quality across diverse sectors, including healthcare, recruitment, and corporate training. Beyond individual learning, this technology offers a foundation for equitable, data-driven decision-making within organizations. By positioning AI-driven avatars as key enablers of unbiased reasoning, this paper highlights their transformative potential in fostering more ethical and informed decision-making in professional and educational settings.

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Publication Details

Journal
International Journal of Advanced Corporate Learning (iJAC)
Published
2025-04-07
DOI
https://doi.org/10.3991/ijac.v18i2.52589
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Driven Avatars for Smarter Decisions: Reducing Bias and Strengthening Critical Thinking

Fernando Salvetti, Ianna Contardo, Barbara Bertagni
International Journal of Advanced Corporate Learning (iJAC)
AI in Service Interactions
article

AI-Driven Avatars for Smarter Decisions: Reducing Bias and Strengthening Critical Thinking

Fernando Salvetti, Ianna Contardo, Barbara Bertagni
article en

Abstract

As digital education evolves, AI-driven avatars become pivotal tools for enhancing decision-making skills. This paper presents an innovative approach leveraging intelligent conversational agents to cultivate critical thinking and mitigate cognitive biases. Through dynamic, scenario-based interactions, these avatars challenge assumptions, provide real-time feedback, and foster a deeper understanding of complex issues. The proposed framework integrates advanced generative AI models to reduce inherent biases, guiding learners through structured debiasing techniques such as the D.E.B.I.A.S. mnemonic. This scalable solution enhances decision-making quality across diverse sectors, including healthcare, recruitment, and corporate training. Beyond individual learning, this technology offers a foundation for equitable, data-driven decision-making within organizations. By positioning AI-driven avatars as key enablers of unbiased reasoning, this paper highlights their transformative potential in fostering more ethical and informed decision-making in professional and educational settings.

International Journal of Advanced Corporate Learning (iJAC)Vol. 18(2)
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AI in Service Interactions
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AI-Driven Avatars for Smarter Decisions: Reducing Bias and Strengthening Critical Thinking — Fernando Salvetti, Ianna Contardo, et al. · International Journal of Advanced Corporate Learning (iJAC) (2025) | TGRS Research Map | TGRS