Northeastern University
Restoring Authenticity and Agency in AI-Mediated Knowledge Work
We operationalize bias in AI-mediated workplace communication and deliver data-driven organizational guidelines plus user-facing interventions that promote healthy, equitable human-AI integration across knowledge work settings.
Rapid adoption of LLMs to augment communication in knowledge work risks exacerbating biases in the perception of women, leading to reputation loss, emotional harm, and social isolation. Our project will operationalize these biases, model their impact in scenarios, and design worker-facing digital interventions. We will design our solutions through human-centered AI research methods like large-scale surveys, behavioral experiments, and co-design workshops. The findings stand to promote appropriate reliance and responsible integration of AI in work.
Primary Barrier
Biases inside AI systems
Location
Massachusetts
Solution Region
Nation-wide
Community Type
Urban
Annual Operating Budget
More than $500 Million

