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What do AI/ML practitioners think about AI/ML bias? (2407.08895v1)

Published 11 Jul 2024 in cs.SE

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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Authors (4)
  1. Aastha Pant (7 papers)
  2. Rashina Hoda (37 papers)
  3. Burak Turhan (28 papers)
  4. Chakkrit Tantithamthavorn (49 papers)
Citations (1)