Overview
Pre-Module Survey
Module
Recommendations
Cases
Post-Module Survey
References
About Module

Recommendations

Below is a summary of the recommendations for clinicians to avoid algorithmic bias in using AI systems for health care.

  1. Determine who you can seek guidance from in your organization on using AI systems and be sure to ask questions when they arise.
  2. Consider who was represented in the development of the system and their goals.
  3. Review how the system was approved and how it is monitored.
  4. Check the training data, determine how bias could have influenced the data, and if that bias was adjusted for.
  5. If the training data is not available, advocate to your organization and the developers to know more about the system.
  6. If the system does not provide a level of certainty, adjust your level of trust in the system output accordingly.
  7. Think about the harm that could come from using the AI system and how likely that harm is to occur.
  8. Calibrate your trust in the system based on how much you know about it and the risks associated with using it.
  9. Determine how the system fits in the overall care of the patient and the larger health care system.