Ethical judgment and decision making in the time of bounded ethicality and artifical intelligence

• Autores: Yan Bai
• Directores de la Tesis: Antonino Vaccaro (dir. tes.), Elena Reutskaja (codir. tes.)
• Lectura: En la Universidad de Navarra ( España ) en 2019
• Idioma: inglés
• Tribunal Calificador de la Tesis: Joan Fontrodona Felip (presid.), Yih-teen Lee (secret.), Tommaso Ramus (voc.), Miguel Pina e Cunha (voc.), Francesco Rullani (voc.)
• Programa de doctorado: Programa de Doctorado en Ciencias de la Dirección por la Universidad de Navarra
• Materias:
  • Ciencias económicas
    • Organización y dirección de empresas
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• Resumen

  • Ethics is crucial in today’s scandal-ridden era. The objective of this dissertation is to seek a better understanding of ethical behaviour within the domain of business ethics research. Across three chapters – three lab experiments, two field experiments, two surveys, and two online experiments – covering diverse sample populations (n = 1134), this dissertation addresses three important questions regarding ethical judgment and decision making in the time of bounded ethicality and Artificial Intelligence.

    The first chapter investigates the dynamic process from past unintentional unethical behaviour to future intentional unethical behaviour by extending the boundary of moral awareness. Despite laypeople’s optimistic beliefs, in both laboratory and field studies, we do not have evidence that awareness of past unintentional unethical behaviour makes people behave more ethically in the future. Additionally, we also explore expert advice and find that the identity of the ethical adviser affects individuals’ future intentional ethical decision making.

    The second chapter studies the individual’s ethical decision making in human-human collaboration vs. human-Artificially Intelligent (AI) robot collaboration. We demonstrate in a laboratory setting that human-AI robot collaboration reduces cheating in comparison with human-human collaboration. The finding is counterintuitive to laypeople’s common beliefs.

    The third chapter reviews current debate on AI ethics and built propositions on ethical judgment of decisions made by humans vs. AI robots. Such theoretical inquiry inspires future research on AI ethics from a behavioural perspective.

    This dissertation contributes to behavioural ethics research and advances the field of business ethics.