Algorithmic Justice and Ethical AI: A Review of Bias Mitigation Frameworks
DOI:
https://doi.org/10.58812/jes.v1i01.3Keywords:
ethical AI, algorithmic bias, fairness, governanceAbstract
As artificial intelligence (AI) systems increasingly shape decision-making in finance, healthcare, and policing, concerns about algorithmic bias have grown. This paper critically reviews existing bias mitigation frameworks, analyzing their ethical underpinnings, technical methods, and practical applications. Findings highlight the need for interdisciplinary approaches combining transparency, accountability, and inclusive datasets.
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Copyright (c) 2025 Ayesha Rahman, Liam O’Connor (Author)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
