Algorithms, especially computer algorithms, are playing a larger role in everyday life. Algorithms work well when they serve as filters that limit data overload and increase relevant search results. Facebook’s algorithms, for example, use a ranking system that examines the inventory of all of the possible stories (posts by the user’s friends, posts by companies the user follows), examines signals given by the user (types of stories that the user likes/shares/blocks), predicts which stories the user is likely to enjoy (share/like), and develops a relevancy score (Mosseri 2018). Stories are then posted on the user’s newsfeed based on that score. This process can be useful since it prevents the user from having to sift through many unrelated and unwanted posts.
I contend, however, that there is a fundamental problem with some computer algorithms: the effect they can have on the development of the individual’s I-for-myself. The I-for-myself is an internal self-definition. It is how our lives feel to us, day to day, on the inside. Our conception of the I-for-myself, according to Mikhail Bakhtin, comes from the initial words of the parents that are internalized by the child as self-definition (1984, 1986, 1990, 1993, 2017). As individuals encounter new people and ideas, this inner definition is used to judge new definitions of the individual given by external others. The inner definition is modified as the individual openly interacts with a world of other selves. When those others lose their personhood, when the individual no longer sees others as individuals but as stereotypes, categories, or images, the individual becomes less trusting of the other and less open to change. Algorithms quicken this shift by flipping the normal equation: the individual interacts with programs that create a snapshot of the individual at a given moment. The (artificial) algorithmic image stands in for the authentic other, “helping” the individual develop her “self” by presenting the individual with articles, stories, or search results that “match” her. Because the development of self requires voices that bring novelty, the algorithmic voice, which brings the individual conformity (material she already has affirmed as part of her “self”), shuts the person off from herself and her development.