AI Ethics Perceptions Vary Across Roles and Regions: Survey of 414 Practitioners
A recent study released on arXiv (2508.09219) explores ethical perceptions, practices, and knowledge among professionals involved in AI development through a mixed-methods survey. It collected data from 414 individuals spanning 43 countries, including roles such as AI managers, analysts, developers, quality assurance experts, and specialists in information security and privacy. Results indicate diverse levels of understanding and experience regarding AI ethics principles, government initiatives, and risk management across various roles, regions, and demographics. The authors stress the necessity of a collaborative and role-sensitive approach to ethical decision-making, highlighting the urgent need for guidelines and regulations to address AI-related risks. This paper, marked as a replace-cross type on arXiv, adds to the ongoing dialogue on AI governance and ethical implementation in technology.
Key facts
- Survey of 414 participants from 43 countries
- Mixed-methods study combining statistical and qualitative analyses
- Roles included AI managers, analysts, developers, QA professionals, and security/privacy experts
- Findings show varying familiarity with AI ethics principles across roles and regions
- Emphasizes collaborative, role-sensitive approach to ethical decision-making
- Published on arXiv with ID 2508.09219
- Announcement type: replace-cross
- Addresses growing concerns about AI risks and need for guidelines
Entities
Institutions
- arXiv