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Algorithmic systems are increasingly deployed to make decisions in many areasof people's lives. The shift from human to algorithmic decision-making has beenaccompanied by concern about potentially opaque decisions that are not alignedwith social values, as well as proposed remedies such as explainability. Wepresent results of a qualitative study of algorithmic decision-making,comprised of five workshops conducted with a total of 60 participants inFinland, Germany, the United Kingdom, and the United States. We invitedparticipants to reason about decision-making qualities such as explainabilityand accuracy in a variety of domains. Participants viewed AI as adecision-maker that follows rigid criteria and performs mechanical tasks well,but is largely incapable of subjective or morally complex judgments. We discussparticipants' consideration of humanity in decision-making, and introduce theconcept of 'negotiability,' the ability to go beyond formal criteria and workflexibly around the system.

"A cold, technical decision-maker": Can AI provide explainability, negotiability, and humanity?