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Short abstract:

A physical installation with some technical setup.

Abstract:

Artificial Intelligence is being used more and more in the human resource management for selecting, training or evaluating workers. In this making and doing session we will explore questions on fairness of the recruitment process and how AI can mitigate the human bias or exacerbate discrimination. With this installation, we invite participants to experience an initial screening process in hiring activities from the side of artificial intelligence, and their own human side. Participants will firstly read a job description and indicate the ranking criteria that they deem important for the job, for example previous experience, education, language, or other. Secondly, the recruiter AI will make an assessment based on the human input, while the humans go into the black box to make their own selection and ranking of the given job candidates. Thirdly, as they exit the black box, participants compare their human choices with the AI’s choices to see if and how it differed. We finally invite participants to provide feedback on the activity to map how the STS community can help our project, BIAS, to rethink AI-enhanced hiring processes.