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cs.CY2026
Will AI Agents Free Us From Meaningless Work? A Human-Centered Analysis
Davide Ghia, Jaspreet Ranjit, Tania Cerquitelli +1
Some claim that AI agents will free workers from the boring parts of their jobs, yet little is known about how workers themselves identify which tasks should be automated. Prior re…
cs.CL2026
Side-by-side Comparison Amplifies Dialect Bias in Language Models
Kritee Kondapally, Claire J. Smerdon, Pooja C. Patel +5
Language models (LMs) can exhibit biases based on variations in their dialects, even in the absence of a dialect label, a behavior known as covert dialect bias. In this work, we qu…
cs.CY2026
Are We Automating the Joy Out of Work? Designing AI to Augment Work, Not Meaning
Jaspreet Ranjit, Ke Zhou, Swabha Swayamdipta +1
Prior work has mapped which workplace tasks are exposed to AI, but less is known about whether workers perceive these tasks as meaningful or as busywork. We examined: (1) which dim…