9 citations · 19 across the 5 of their papers we have counts for
5 papers
Readying Medical Students for Medical AI: The Need to Embed AI Ethics Education
Thomas P Quinn, Simon Coghlan
Medical students will almost inevitably encounter powerful medical AI systems early in their careers. Yet, contemporary medical education does not adequately equip students with th…
Computer Science Communities: Who is Speaking, and Who is Listening to the Women? Using an Ethics of Care to Promote Diverse Voices
Marc Cheong, Kobi Leins, Simon Coghlan
Those working on policy, digital ethics and governance often refer to issues in `computer science', that includes, but is not limited to, common subfields of Artificial Intelligenc…
The Three Ghosts of Medical AI: Can the Black-Box Present Deliver?
Thomas P. Quinn, Stephan Jacobs, Manisha Senadeera +2
Our title alludes to the three Christmas ghosts encountered by Ebenezer Scrooge in \textit{A Christmas Carol}, who guide Ebenezer through the past, present, and future of Christmas…
Good proctor or "Big Brother"? AI Ethics and Online Exam Supervision Technologies
Simon Coghlan, Tim Miller, Jeannie Paterson
This article philosophically analyzes online exam supervision technologies, which have been thrust into the public spotlight due to campus lockdowns during the COVID-19 pandemic an…
Trust and Medical AI: The challenges we face and the expertise needed to overcome them
Thomas P. Quinn, Manisha Senadeera, Stephan Jacobs +2
Artificial intelligence (AI) is increasingly of tremendous interest in the medical field. However, failures of medical AI could have serious consequences for both clinical outcomes…