Truace
Subscribe

Bias in artificial intelligence: smart solutions for detection, mitigation, and ethical strategies in real-world applications

Artificial intelligence (AI) technologies have revolutionized numerous sectors, enhancing efficiency, innovation, and convenience. However, AI's rise has highlighted a critical concern: bias within AI algorithms. This study uses a systematic literature review and analysis of real-world case studies to explore the forms, underlying causes, and methods for detecting and mitigating bias in AI. We ...

By the Truvace desk1 min read1 sourcePeer-reviewedTRV-2026-0015· cite & verify
Bias in artificial intelligence: smart solutions for detection, mitigation, and ethical strategies in real-world applications
"Reasons for Ethical Autonomy [ in Robots]" by brewbooks is licensed under CC BY-SA 2.0. To view a copy of this license, visit https://creativecommons.org/licenses/by-sa/2.0/.

In brief

Artificial intelligence (AI) technologies have revolutionized numerous sectors, enhancing efficiency, innovation, and convenience. However, AI's rise has highlighted a critical concern: bias within AI algorithms.

This study uses a systematic literature review and analysis of real-world case studies to explore the forms, underlying causes, and methods for detecting and mitigating bias in AI.

The problem

Artificial intelligence (AI) technologies have revolutionized numerous sectors, enhancing efficiency, innovation, and convenience. However, AI's rise has highlighted a critical concern: bias within AI algorithms. This study uses a systematic literature review and analysis of real-world case studies to explore the forms, underlying causes, and methods for detecting and mitigating bias in AI. We ...

Sources

  1. Peer-reviewedIAES International Journal of Artificial Intelligence (IJ-AI)2025-02-01

The debate