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Responsibility Gap(s) Due to the Introduction of AI in Healthcare: An Ubuntu-Inspired Approach.

Brandon FerlitoSeppe SegersMichiel De ProostHeidi Mertes
Published in: Science and engineering ethics (2024)
Due to its enormous potential, artificial intelligence (AI) can transform healthcare on a seemingly infinite scale. However, as we continue to explore the immense potential of AI, it is vital to consider the ethical concerns associated with its development and deployment. One specific concern that has been flagged in the literature is the responsibility gap (RG) due to the introduction of AI in healthcare. When the use of an AI algorithm or system results in a negative outcome for a patient(s), to whom can or should responsibility for that outcome be assigned? Although the concept of the RG was introduced in Anglo-American and European philosophy, this paper aims to broaden the debate by providing an Ubuntu-inspired perspective on the RG. Ubuntu, deeply rooted in African philosophy, calls for collective responsibility, and offers a uniquely forward-looking approach to address the alleged RG caused by AI in healthcare. An Ubuntu-inspired perspective can serve as a valuable guide and tool when addressing the alleged RG. Incorporating Ubuntu into the AI ethics discourse can contribute to a more ethical and responsible integration of AI in healthcare.
Keyphrases
  • artificial intelligence
  • healthcare
  • machine learning
  • big data
  • deep learning
  • systematic review
  • health information
  • decision making
  • risk assessment
  • neural network
  • global health