This article is based on, and updates, previous research conducted by our group to review the relevant literature published since 2016 on the ethics of algorithms. Although that article is now inevitably out of date in terms of specific references and detailed information on the reviewed literature, the map and the six categories it provides have stood the test of time and remain a valuable tool for analyzing the ethics of algorithms as an area.
Since 2016, the ethics of algorithms has become a central topic of discussion among academics, technology providers, and policy makers. The debate has also gained traction due to the called "AI summer", and with it the widespread use of ML algorithms.
One aspect that was not explicitly captured by the original map, and that is becoming a central point of discussion in the relevant literature, is the increasing focus on using algorithms, AI, and digital technologies more broadly, to deliver results. socially good While it is true, that any initiative to use algorithms for social good must successfully address the risks identified by each of the six categories on the map.
Ethical analyzes are necessary to mitigate risks and harness the potential for the good of these technologies, insofar as they serve the dual purpose of clarifying the nature of ethical risks and the potential for the good of algorithms and digital technologies.