For algorithm based systems, as with many other topics, 2016 turned out to be an eventful year. As we close the year and look back on events, the course of 2016 brought many of the issues we intend to address in the UnBias project to the attention of people and organizations who previously perhaps had not considered these things before.
Continue reading 2016, an eventful year for algorithms
A recent report from the BBC covers one instance of the ever-growing use of algorithms for social purposes and helps us to illustrate some key ethical concerns underpinning the UnBias project.
Continue reading The need for a responsible approach to the development of algorithms
In an almost suspiciously conspiracy-like fashion the official launch of UnBias at the start of September was immediately accompanied by a series of news articles providing examples of problems with algorithms that are making recommendations or controlling the flow of information. Cases like the unintentional racial bias in a machine learning based beauty contest algorithm, meant to remove bias of human judges; a series of embarrassing news recommendations on the Facebook trending topics feed, as a results of an attempt to avoid (appearance of) bias by getting rid of human editors; and controversy about Facebook’s automated editorial decision to remove the Pulitzer prize-winning “napalm girl” photograph because the image was identifies as containing nudity. My view of these events? “Facebook’s algorithms give it more editorial responsibility – not less“ (published today in the Conversation).