Rana, Saadia Afzal and Azizul, Zati Hakim and Awan, Ali Afzal (2023) A step toward building a unified framework for managing AI bias. PeerJ Computer Science, 9. ISSN 2376-5992, DOI https://doi.org/10.7717/peerj-cs.1630.
Full text not available from this repository.Abstract
Integrating artificial intelligence (AI) has transformed living standards. However, AI's efforts are being thwarted by concerns about the rise of biases and unfairness. The problem advocates strongly for a strategy for tackling potential biases. This article thoroughly evaluates existing knowledge to enhance fairness management, which will serve as a foundation for creating a unified framework to address any bias and its subsequent mitigation method throughout the AI development pipeline. We map the software development life cycle (SDLC), machine learning life cycle (MLLC) and cross industry standard process for data mining (CRISP-DM) together to have a general understanding of how phases in these development processes are related to each other. The map should benefit researchers from multiple technical backgrounds. Biases are categorised into three distinct classes; pre-existing, technical and emergent bias, and subsequently, three mitigation strategies; conceptual, empirical and technical, along with fairness management approaches; fairness sampling, learning and certification. The recommended practices for debias and overcoming challenges encountered further set directions for successfully establishing a unified framework.
| Item Type: | Article |
|---|---|
| Funders: | Higher Education Commission of Pakistan |
| Uncontrolled Keywords: | Algorithmic bias; Fairness management; Bias mitigation strategy; Data-driven AI system; Fairness in data mining |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Computer Science & Information Technology |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 12 Oct 2025 12:34 |
| Last Modified: | 12 Oct 2025 12:34 |
| URI: | http://eprints.um.edu.my/id/eprint/48108 |
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