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IMED2003 Midterm: Revision 19 NotesPremium

1 pages65 viewsSpring 2018

Integrated Medical Sciences
Course Code
Kellie Bennett
Study Guide

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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
of research
These are issues about the ethical obligations a researcher has toward a
research participant:
In terms of interacting with him or her in a humane
Non-exploitative way while at the same time being mindful of ones role as
a researcher.
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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