Digital Health: AI Bias & Ethics Resources

On 6/14, PACT held a Digital Health webinar on AI Bias and Ethics. As a community, attention to the needs of all diverse and intersectional populations is crucial. Below, please find the recording of the webinar and resources from our speakers, who included:

  • Stephanie Gervasi, Manager of Data Science, Independence Blue Cross
  • Dr. Seun Ross, Executive Director, Health Equity, Independence Blue Cross
  • Irene Chen, PhD student – Machine Learning, MIT
  • Jaya Aysola, MD, MPH, University of Pennsylvania
  • Ryan Wesley Brown, Associate, Duane Morris LLP (Professional Bio)

Resources from the workshop:

Definitions to be shared:

  • Artificial Intelligence: The ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment.
  • Machine Learning:  A type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values.
  • Algorithm: A process or set of rules to be followed in calculations or other problem-solving operations, especially by a computer.
  • Algorithmic bias: Describes systematic and repeatable errors in a computer system that create unfair outcomes, such as privileging or benefiting one category over another in ways different from the intended function of the algorithm.
  • Fairness: Impartial and just treatment or behavior without favoritism or discrimination. Many types and definitions of fairness exist such as individual, group, and representational fairness.
  • Social determinants of health: the conditions in the environments where people are born, live, learn, work, play, worship, and age that affect a wide range of health, functioning, and quality-of-life outcomes and risks. 
  • HIPAA: The Health Insurance Portability and Accountability Act of 1996 (HIPAA) is a federal law that required the creation of national standards to protect sensitive patient health information from being disclosed without the patient’s consent or knowledge. 

References to be shared: