Gender Bias and Cultural Misrepresentation in AI: A Critical Inquiry into Cross-Cultural Communication and Algorithmic Design DOI
Giovanni Vindigni

Deleted Journal, Journal Year: 2025, Volume and Issue: 3(3), P. 51 - 72

Published: April 29, 2025

Against the backdrop of gender disparities in artificial intelligence datasets, this study examines their impact on intercultural communication, particularly with regard to elicitive processes and shame- guilt-oriented conscience formations context individualistic collectivist cultures. In relation causal exploratory context, historical biases underlying datasets become apparent development implementation AI-powered applications, including translation services, recruitment algorithms, content moderation systems, thereby perpetuating stereotyping. Under these conditions, Western conception AI models, those developed US Europe, reveals significant shortcomings interpreting non-Western communication memorization patterns. This results inadequate representations potential marginalization users digital interaction contexts, which contradicts requirements DIN EN ISO 9241. regard, empirical findings indicate an insufficient integration heuristic complexity-reducing bias mitigation strategies ethical frameworks process intelligence. However, also highlight urgent need establish algorithmic fairness standards. requires interdisciplinary discourse among computer scientists, UX designers, ethicists, didacticians, cultural fostering collaborative research practices spirit a consortial approach. As result, future projects should explore AI-time interactions, reduction methods, marginalized gender-specific conceptualizations. The analysis be guided by standards 9241-11 (usability), 9241-110 (principles interaction), 9241-210 (human-centered design interactive systems). Additionally, both European Accessibility Act (EAA) Barrierefreiheitsstärkungsgesetz (BFSG), will take effect June 28, 2025, impose corresponding regulatory implications. From perspective, inclusive governance structures can identified that contribute creation equitable ultimately promoting more target group-oriented efficient modalities for global communities.

Language: Английский

Editorial: Some early insights into the use of AI tools within urban design and planning research – risks and opportunities DOI

Abeer Elshater,

Hisham Abusaada, Olgu Çalışkan

et al.

Proceedings of the Institution of Civil Engineers - Urban Design and Planning, Journal Year: 2025, Volume and Issue: 178(1), P. 1 - 5

Published: Feb. 1, 2025

Language: Английский

Citations

1
Engineering equity: designing diversity-aware AI to reflect humanity DOI
Dong‐Hee Shin

AI & Society, Journal Year: 2025, Volume and Issue: unknown

Published: March 25, 2025

Language: Английский

Citations

0
Gender Bias and Cultural Misrepresentation in AI: A Critical Inquiry into Cross-Cultural Communication and Algorithmic Design DOI
Giovanni Vindigni

Deleted Journal, Journal Year: 2025, Volume and Issue: 3(3), P. 51 - 72

Published: April 29, 2025

Against the backdrop of gender disparities in artificial intelligence datasets, this study examines their impact on intercultural communication, particularly with regard to elicitive processes and shame- guilt-oriented conscience formations context individualistic collectivist cultures. In relation causal exploratory context, historical biases underlying datasets become apparent development implementation AI-powered applications, including translation services, recruitment algorithms, content moderation systems, thereby perpetuating stereotyping. Under these conditions, Western conception AI models, those developed US Europe, reveals significant shortcomings interpreting non-Western communication memorization patterns. This results inadequate representations potential marginalization users digital interaction contexts, which contradicts requirements DIN EN ISO 9241. regard, empirical findings indicate an insufficient integration heuristic complexity-reducing bias mitigation strategies ethical frameworks process intelligence. However, also highlight urgent need establish algorithmic fairness standards. requires interdisciplinary discourse among computer scientists, UX designers, ethicists, didacticians, cultural fostering collaborative research practices spirit a consortial approach. As result, future projects should explore AI-time interactions, reduction methods, marginalized gender-specific conceptualizations. The analysis be guided by standards 9241-11 (usability), 9241-110 (principles interaction), 9241-210 (human-centered design interactive systems). Additionally, both European Accessibility Act (EAA) Barrierefreiheitsstärkungsgesetz (BFSG), will take effect June 28, 2025, impose corresponding regulatory implications. From perspective, inclusive governance structures can identified that contribute creation equitable ultimately promoting more target group-oriented efficient modalities for global communities.

Language: Английский

Citations

0