  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.
