Ethics Practices in AI Development: An Empirical Study Across Roles and Regions

A global empirical study involving 414 AI professionals across 43 countries reveals significant variance in ethical perceptions, practices, and knowledge within AI development roles. The research highlights differing familiarity with AI ethics principles, government initiatives, and risk mitigation strategies, underscoring the complexity of embedding ethical considerations across diverse professional functions and geographies in AI development.

Why it matters

The consistent and effective integration of ethical considerations is critical for the sustainable development and deployment of AI technologies. This variance in ethical understanding and practice poses significant risks to reputation, regulatory compliance, and public trust, necessitating a focused strategic approach to AI ethics across the enterprise.

Key insights

• The study surveyed 414 participants from 43 countries involved in various AI development roles.
• Roles examined included AI managers, analysts, developers, quality assurance professionals, and information security and privacy experts.
• Findings indicate varying degrees of familiarity and experience with AI ethics principles among these professionals.
• Differences were also observed in understanding government initiatives related to AI ethics.
• The study identified disparities in the application and knowledge of risk mitigation strategies within AI development.

Source

arXiv — Computers and Society — https://arxiv.org/abs/2508.09219