Abstract
This paper investigates how Algorithmic Experience (AX) can be used as a conceptual tool to help make algorithms and experiences of them visible through systems design and how interactions might be designed in order to elicit conscious and critical examination. Can algorithmic systems be positioned as critical artifacts? If so, to what extent? The paper reflects on interactions between users and the Social Privilege Estimator– a social scoring system based on facial recognition and classification that was built as a critical design artifact in order to raise awareness of existing inequalities and adverse effects of facial recognition systems. We argue that critical design can and should be used for AX and human-algorithm interaction design in order to support algorithmic literacy and critical capacity of the users and we suggest some conceptual reframings of AX towards this goal.
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