IRIS member, Susanne Hindennach, presents her research in the IZKT series: Lunch Talk
Who actually said “artificial” intelligence? Behind every AI system lies a great deal of human intelligence:
People sort training data, evaluate outputs, or sometimes even play the role of the AI themselves—often for meager pay and under questionable conditions.
Susanne Hindennach takes us behind the scenes of so-called “data work” and uses the example of text annotation to show what valuable—and often difficult—negotiations are necessary to make data usable for AI in the first place.
Making this invisible work visible is not just a nice extra, but a prerequisite for ensuring that AI can be used responsibly in science. Only in this way can data, systems, and results remain traceable.
Susanne Hindennach is a late-stage doctoral student at the Institute for Visualization and Interactive Systems at the University of Stuttgart.
Cooperation: Hospitalhof Stuttgart, IZKT and IRIS at the University of Stuttgart, Stuvus (student council at the University of Stuttgart)
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