A cross-cultural examination of ethical issues in AI development

This study examines the ethical dimensions of artificial intelligence (AI) and explores the awareness and understanding of how users interact with AI and the potential consequences of these interactions. In recent years, growing awareness of the risks of AI has driven the development of ethical guidelines by various organizations. These guidelines aim to ensure that AI is developed and deployed in a responsible manner, with a focus on human well-being, societal benefits and minimizing risks. However, despite this global movement, there is a lack of consensus on key ethical issues such as bias, discrimination, privacy and human rights issues. The study focuses on the perceptions of 127 participants from 11 countries with diverse professional backgrounds in technology, education and finance. A survey with a 5-point Likert scale was used to assess participants’ attitudes towards AI ethics in relation to various topics such as transparency. The study examines differences in responses across professions and countries using Multivariate Analysis of Variance (MANOVA) test. The results reveal variations in ethical priorities, suggesting that while global ethical frameworks are emerging, further efforts are needed to achieve uniformity in AI ethical standards. The findings emphasize the importance of increasing awareness and understanding of AI ethics to mitigate potential harms.

Authors

Publication Details

Journal
PeerJ Computer Science
Published
2026-01-30
DOI
https://doi.org/10.7717/peerj-cs.3504
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A cross-cultural examination of ethical issues in AI development

Meltem Eryilmaz
PeerJ Computer Science
Ethics and Social Impacts of AI
article

A cross-cultural examination of ethical issues in AI development

Meltem Eryilmaz
article en

Abstract

This study examines the ethical dimensions of artificial intelligence (AI) and explores the awareness and understanding of how users interact with AI and the potential consequences of these interactions. In recent years, growing awareness of the risks of AI has driven the development of ethical guidelines by various organizations. These guidelines aim to ensure that AI is developed and deployed in a responsible manner, with a focus on human well-being, societal benefits and minimizing risks. However, despite this global movement, there is a lack of consensus on key ethical issues such as bias, discrimination, privacy and human rights issues. The study focuses on the perceptions of 127 participants from 11 countries with diverse professional backgrounds in technology, education and finance. A survey with a 5-point Likert scale was used to assess participants’ attitudes towards AI ethics in relation to various topics such as transparency. The study examines differences in responses across professions and countries using Multivariate Analysis of Variance (MANOVA) test. The results reveal variations in ethical priorities, suggesting that while global ethical frameworks are emerging, further efforts are needed to achieve uniformity in AI ethical standards. The findings emphasize the importance of increasing awareness and understanding of AI ethics to mitigate potential harms.

PeerJ Computer ScienceVol. 12
Peace, Justice and strong institutions
Openalex Percentile: Top 75%
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.