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This chapter examines the operational deployment of ethical artificial intelligence (AI) and identifies mechanisms that minimize ethical risks while maintaining business and societal value. Based on a panel of 12 organizations (N = 12), ethics maturity was assessed across five principal dimensions: Data Governance, Fairness, Explainability, Human Oversight, and Robustness. Correlation and dispersion analyses were performed to evaluate the relationship between maturity scores and incident frequency. Visual analytics, including a heatmap, violin plots, and radar diagrams, revealed underlying structure among the dimensions and variation in ethics maturity across organizations. Results demonstrate measurable interdependencies between governance maturity and incident occurrence, offering practical insights for targeted interventions and continuous monitoring.

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Ethical Artificial Intelligence in Practice: Learning from Real-World Scenarios

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  • 发表日期：

    2026年

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  • Mohamed Ahmed Alloghani

摘要

This chapter examines the operational deployment of ethical artificial intelligence (AI) and identifies mechanisms that minimize ethical risks while maintaining business and societal value. Based on a panel of 12 organizations (N = 12), ethics maturity was assessed across five principal dimensions: Data Governance, Fairness, Explainability, Human Oversight, and Robustness. Correlation and dispersion analyses were performed to evaluate the relationship between maturity scores and incident frequency. Visual analytics, including a heatmap, violin plots, and radar diagrams, revealed underlying structure among the dimensions and variation in ethics maturity across organizations. Results demonstrate measurable interdependencies between governance maturity and incident occurrence, offering practical insights for targeted interventions and continuous monitoring.