Ethical decision-making using algorithms within predictive analytics
The use of automated decision-making support, such as algorithms within predictive analytics, will inevitably be more and more relevant, and affecting society. Sometimes it is good, and sometimes there seems to be negative effect, such as with discrimination. The solution focused on in this paper is how humans and algorithms, or ICT, could interact within ethical decision-making. What predictive analytics can produce is, arguably, mostly implicit knowledge, so what a human decision-maker could, possibly, help with is the explicit thought processes. This could be one way to conceptualize the interactive effect between humans and algorithms that could be fruitful. Presently there does not seem to be very much research regarding predictive analytics and ethical decisions, concerning this human-algorithm interaction. Rather it is often a focus on pure technological solutions, or with laws and regulation.
Anders Persson, Uppsala University
Iordanis Kavathatzopoulos, Uppsala University