Avoiding bias in artificial intelligence.

Journal: International forum of allergy & rhinology
Published Date: Jan 26, 2023

Abstract

Artificial intelligence (AI) is ubiquitous and expanding, and the healthcare industry has rapidly adopted AI and machine learning for numerous applications. It is essential to understand that AI is not immune to the biases that impact our clinical and academic work, and in fact may inadvertently amplify rather than reduce them. As we harness the power of AI, it is our obligation to our patients to ensure that we address these concerns. We must take responsibility for proactive stewardship to protect against bias, not only for new AI algorithms, but also for our research studies that may one day provide data for those algorithms.

Authors

  • David A Gudis
    Rhinology & Anterior Skull Base Surgery, Department of Otolaryngology-Head & Neck Surgery, Columbia University Irving Medical Center, New York, NY.
  • Edward D McCoul
    Department of Otorhinolaryngology, Ochsner Clinic, New Orleans, Louisiana, USA.
  • Michael J Marino
    Department of Otolaryngology-Head & Neck Surgery, Mayo Clinic, Phoenix, Arizona, USA.
  • Zara M Patel
    Department of Otolaryngology-Head and Neck Surgery, Stanford University, Stanford, CA, USA.

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