Overviewing Biases in Generative AI-Powered Models in the Arabic Language DOI
Mussa Saidi Abubakari

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 361 - 390

Published: Feb. 28, 2025

Natural Language Processing (NLP) is an emerging field often integrated into Artificial Intelligence (AI) technologies. NLP has significantly advanced, leading to the widespread use of generative AI-powered (Gen-AI) models across various domains. However, while Gen-AI systems have been successfully implemented in several languages, AI-based language still face considerable challenges and shortcomings, including generating biases sensitive languages like Arabic. Therefore, primary objective this chapter provide overview Gen-AI-powered context Arabic language, exploring sources these biases, their implications, potential strategies for mitigation. The underscore need ongoing research development create more equitable accurate AI systems. By understanding origins implications implementing effective mitigation strategies, we can work towards that better serve diverse linguistic communities.

Language: Английский

Fine-Tuning AI Models for Enhanced Consistency and Precision in Chemistry Educational Assessments DOI Creative Commons
Sri Yamtinah,

Antuni Wiyarsi,

Hayuni Retno Widarti

et al.

Computers and Education Artificial Intelligence, Journal Year: 2025, Volume and Issue: unknown, P. 100399 - 100399

Published: March 1, 2025

Language: Английский

Citations

0

Overviewing Biases in Generative AI-Powered Models in the Arabic Language DOI
Mussa Saidi Abubakari

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 361 - 390

Published: Feb. 28, 2025

Natural Language Processing (NLP) is an emerging field often integrated into Artificial Intelligence (AI) technologies. NLP has significantly advanced, leading to the widespread use of generative AI-powered (Gen-AI) models across various domains. However, while Gen-AI systems have been successfully implemented in several languages, AI-based language still face considerable challenges and shortcomings, including generating biases sensitive languages like Arabic. Therefore, primary objective this chapter provide overview Gen-AI-powered context Arabic language, exploring sources these biases, their implications, potential strategies for mitigation. The underscore need ongoing research development create more equitable accurate AI systems. By understanding origins implications implementing effective mitigation strategies, we can work towards that better serve diverse linguistic communities.

Language: Английский

Citations

0