A virtue ethics framework for artificial intelligence

• Autores: Francesco Vincenzo Giarmoleo
• Directores de la Tesis: Ignacio Ferrero Muñoz (dir. tes.), Marta Rocchi (dir. tes.)
• Lectura: En la Universidad de Navarra ( España ) en 2024
• Idioma: inglés
• Tribunal Calificador de la Tesis: Alejo José Sison Galsim (presid.), Walid Maya Rodin (secret.), José Luis Ruiz de Alba Robledo (voc.), Miguel Alzola (voc.), Alfredo Marcos Martínez (voc.)
• Programa de doctorado: Programa de Doctorado en Economía y Empresa por la Universidad de Navarra
• Calificación: Sobresaliente
• Materias:
  • Ciencias económicas
    • Economía del cambio tecnológico
      • Innovación tecnológica
  • Ética
    • Ética de grupo
      • Ética económica
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• Resumen

  • This doctoral dissertation explores the application of virtue ethics to the field of artificial intelligence (AI) ethics. The work begins with a historical overview of AI, tracing its origins from Alan Turing's groundbreaking work in 1950 through various cycles of enthusiasm and disillusionment in the field's development. The dissertation discusses the ethical challenges that have emerged alongside AI's technological advancements, particularly those related to the potential risks AI poses to humanity and the evolving role of human uniqueness in the era of increasingly capable AI systems. The dissertation is structured into three chapters. The first chapter presents a systematic literature review that maps the current landscape of AI ethics, revealing the predominance of act-centered ethical approaches. It identifies a gap in the application of virtue ethics within the AI field and suggests that integrating virtue ethics could effectively complement existing frameworks by addressing not only regulatory compliance but also promoting human flourishing. The second chapter examines how AI can either support or undermine human virtues within organizational settings. It focuses on "augmented" organizations, where AI technologies are embedded in work processes, and analyzes the ethical dilemmas arising from these integrations. The chapter explores various scenarios in which AI either fosters or hinders the cultivation of virtues and suggests strategies for the ethical implementation of AI at the micro, meso, and macro levels. The third chapter assesses AI’s potential to emulate human intellectual virtues and examines the implications of AI-augmented decision-making processes. It advocates a framework incorporating Aristotelian virtue ethics to better delineate tasks suitable for AI and those that should remain human-centered, emphasizing the importance of the virtue of wisdom in AI deployment. The dissertation concludes by calling for a paradigm shift in AI ethics: from the current predominant focus on act-centered approaches to one that robustly incorporates virtue ethics. This shift would enable the use of AI technologies to foster moral virtues and character in alignment with human excellence. This work contributes to both the theoretical and practical understanding of AI ethics, laying the groundwork for future research into virtue-driven technology development with implications at both the individual and organizational levels.