Instructional Course

Technology (e.g. robotics, assistive technology, mHealth)

Clinical Practice (assessment, diagnosis, treatment, knowledge translation/EBP, implementation science, program development)

Cross-Cutting

Ethics

IC1: LIVE DISCUSSION (Defining Ethical Guidelines for Augmented Intelligence) (820963)

Presenter(s)

• 

  Lindsey Jarrett, PhD

  Lead Clinical Researcher
  Cerner Corporation
  Kansas City, Missouri
• 

  Matthew Pjecha, MS

  Program Associate
  Center for Practical Bioethics
  Kansas City, Missouri
• 

  Megan Mitchell, PhD

  Human Factors Researcher
  Cerner Corporation
  Overland Park, Kansas
• SD

  Sierra Davis
• MH

  Mark Hoffman, PhD

  Chief Research Information Officer
  Children's Mercy Research Institute
• PW

  Paul Weaver
• RP

  Ryan Pferdehirt

New developments in machine learning and AI has put healthcare on the cusp of another great technological leap, this time in automation and assisted decision making. However, great opportunities come with great risks. Recognizing the need to leverage its benefits and mitigate risks, this workshop is designed to aid in the development of ethical AI strategies tailored to the unique needs of healthcare. Questions related to keywords including fairness, inclusion, accountability, transparency, data privacy & security, reliability & safety will be addressed and leveraged to establish a healthcare intelligence framework for discussion and a foundation to be formatted into guidelines.

Learning Objectives:

• Describe the challenges of ethics in healthcare practice.
• Identify the ethical dimensions of artificial intelligence in healthcare.
• Evaluate an artificial intelligence system’s adherence to an ethical framework.