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February 2, 2026PeerJ Computer ScienceOpen Access

A cross-cultural examination of ethical issues in AI development

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Authors

MEMeltem Eryilmaz

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Overview

Study investigates ethical AI issues across professions and countries, highlighting the need for consistent standards.

Key Points

  • The study aims to explore ethical issues in AI, focusing on user interactions and understanding across different cultures.
  • Surveyed 127 participants from 11 countries in technology, education, and finance.
  • Assessed attitudes towards AI ethics using a 5-point Likert scale.
  • Analyzed differences across professions and countries using Multivariate Analysis of Variance (MANOVA).
  • Identified variations in ethical priorities related to AI.
  • Highlighted the lack of consensus on key ethical issues such as bias and privacy.
  • Found that global ethical frameworks are evolving but require more uniformity.

Cite This Study

Meltem Eryilmaz (2026) studied this question.

synapsesocial.com/papers/6980fe48c1c9540dea8103f4https://doi.org/10.7717/peerj-cs.3504
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