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Going beyond Responsible AI

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Artificial Intelligence (AI) brought efficient processes (data analysis, pattern recognition, automation, etc.) benefiting organisations and individuals. However, it raised ethical concerns, including privacy leakage, discrimination, plagiarism, misinformation or security risks. Understanding how individuals perceive the ethicality of AI has become crucial. Building on the Implicit Theory of Intelligence, which distinguishes between fixed and growth mindsets, and Cognitive Appraisal Theory, emphasizing the role of emotional appraisals in decision-making, this research explores how consumer mindsets shape ethical perceptions and emotional responses to AI

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Nunes, J. R. (2024). Going beyond Responsible AI: How Mindsets Shape Emotional Responses and Ethical Perceptions of Artificial Intelligence [poster]. 1. Poster session presented at Data Research Meetup by MagIC, Lisbon, Portugal. --- This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project UIDB/04152/2020 (DOI: 10.54499/UIDB/04152/2020) - Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS.

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