Responsible AI Seminar: Black-box decision making in medicine: some thoughts and questions

On the 18th of June we will have the last inter-university and interdisciplinary “Responsible AI seminar” before the summer break and the presenter will be philosopher Jens Christian Krarup Bjerring, who will give a talk with the title “Black-box decision making in medicine: some thoughts and questions”.

The abstract of the talk can be seen below:
Advanced machine learning algorithms are rapidly making their way into medical research and practice, and, arguably, it is only a matter of time before these algorithms will surpass human practitioners in terms of accuracy, reliability, and knowledge. If this is true, practitioners will have a prima facie epistemic obligation to align their medical verdicts with those of the algorithms. However, in light of their complexity, machine learning algorithms—and notably deep learning algorithms—often function as black boxes: the details of their contents, calculations, and procedures cannot be meaningfully understood by even human experts. When AI systems reach this level of complexity, we can also speak of black-box medicine. In this talk, I’ll explore some of the consequences of black-box medicine for core values and ideals in medical decision making.

Join the seminar via this zoom-link

For details on the seminar series see the Responsible AI Seminar website.

Initiators: Aasa Feragen (DTU Compute), Melanie Ganz (DIKU) and Sune Hannibal Holm (IFRO/KU) from the DFF-funded project Bias and fairness in Medicine.


Fri 18 Jun 21
13:00 - 14:00


DTU Compute