IMED2003 Midterm: Revision 19 NotesPremium
1 pages65 viewsSpring 2018
DepartmentIntegrated Medical Sciences
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IMED2003: Revision 19 Notes
Bias in AI:
● Use of machine-learning tools calls for physicians and scientists to carefully
examine the ethical risks of incorporating them into decision-making
○ “You can easily imagine that the algorithms being built into the healthcare
system might be reflective of different, conflicting interests.
○ What if the algorithm is designed around the goal of saving money?
○ What if different treatment decisions about patients are made depending
on insurance status or their ability to pay?”
Dimensions of Ethics in Research:
● Two major dimensions of ethics in research:
○ (a) procedural ethics: involves seeking approval from a relevant ethics
committee to undertake research involving humans
○ (b) “ethics in practice” or the everyday ethical issues that arise in the doing
● These are issues about the ethical obligations a researcher has toward a
○ In terms of interacting with him or her in a humane
○ Non-exploitative way while at the same time being mindful of one’s role as
Guidelines: Research Merit and Integrity
● Databank design:
○ clearly describe how research data will be collected, stored, used and
○ And outline how that process conforms to this National Statement.
● To promote:
● Access to the benefits of research, such data should be collected, stored and
accessible in such a way that they can be used in future research projects.
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