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.
@article{arxiv.2407.08895,
title = {What do AI/ML practitioners think about AI/ML bias?},
author = {Aastha Pant and Rashina Hoda and Burak Turhan and Chakkrit Tantithamthavorn},
journal= {arXiv preprint arXiv:2407.08895},
year = {2024}
}