Introduction on Ethics in Artificial Intelligence (AI)

  • The deployment of artificial intelligence in healthcare and dermatology, holds significant promise and transformative potential.
  • And harnessing patient data can help lead the way to precision medicine.
  • It can ease and streamline administrative burdens.
  • It can support clinical decision making amongst many other possibilities.
  • Ethics around the creation of an AI solution needs to consider the three aspects of its development:
    • Data
    • Model development
    • Model Deployment and Monitoring
  • For each aspect the four pillars of medical ethics need to be considered
    • Autonomy
    • Beneficence
    • Non-maleficence
    • Justice
  • In fact, outside of medicine, AI capabilities are ubiquitous and prevalent, influencing all aspects of our lives in a way that we now take them for granted. But we can all agree that the stakes are somehow different when it comes to AI in healthcare.
  • And this is an area where technology wants to meet the:
    • law regulations
    • privacy principles
    • an ethical framework to ensure that innovation is achieved for the common good.
  • But the development and deployment of AI in the medical field brings a plethora of challenges and considerations from:
    • a privacy point of view
    • an ethics standpoint, including, but not limited to:
      • the safeguarding of patient data
      • the ethical boundaries of innovation
      • the impact of technology on the clinicians, care teams and patients alike.

Justin Ko, MD. Ethical Considerations in AI. 8th World Congress of Teledermatology, Skin Imaging and AI in Skin diseases – November 2020


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