What do AI/ML practitioners think about AI/ML bias?

July 11, 2024 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Aastha Pant, Rashina Hoda, Burak Turhan, Chakkrit Tantithamthavorn arXiv ID 2407.08895 Category cs.SE: Software Engineering Citations 1 Venue arXiv.org Last Checked 5 months ago
Abstract
AI leaders and companies have much to offer to AI/ML practitioners to support them in addressing and mitigating biases in the AI/ML systems they develop. AI/ML practitioners need to receive the necessary resources and support from experts to develop unbiased AI/ML systems. However, our studies have revealed a discrepancy between practitioners' understanding of 'AI/ML bias' and the definitions of tech companies and researchers. This indicates a misalignment that needs addressing. Efforts should be made to match practitioners' understanding of AI/ML bias with the definitions developed by tech companies and researchers. These efforts could yield a significant return on investment by aiding AI/ML practitioners in developing unbiased AI/ML systems.
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