Embedded Ethics: A Proposal for Integrating Ethics into the Development of Medical AI

The emergence of ethical concerns surrounding artificial intelligence (AI) has led to an explosion of high-level ethical principles being published by a wide range of public and private organizations. However, there is a need to consider how AI developers can be practically assisted to anticipate, identify and address ethical issues regarding AI technologies. This is particularly important in the development of AI intended for healthcare settings, where applications will often interact directly with patients in various states of vulnerability. In this paper, we propose that an “embedded ethics” approach, in which ethicists and developers together address ethical issues via an iterative and continuous process from the outset of development, could be an effective means of integrating robust ethical considerations into the practical development of medical AI.

Focus: AI Ethics/Policy
Source: BMC Medical Ethics
Readability: Expert
Type: PDF Article
Open Source: Yes
Keywords: Embedded ethics, Artificial intelligence, Medical AI, Technology ethics
Learn Tags: Design/Methods Ethics Fairness AI and Machine Learning
Summary: To address ongoing ethical issues with the use of AI, especially in healthcare settings, this paper proposes an "embedded ethics" approach that would have ethicists and developers working together to address ethical issues from the start of the development process.