Human Dignity and Agency in the Workforce in the Age of Agentic AI
Supported by the ND-IBM Tech Ethics Lab, this project studies how workplace AI can preserve human dignity and agency and support accountable, human-centered decision-making.
Supported by the ND-IBM Tech Ethics Lab, this project studies how workplace AI can preserve human dignity and agency and support accountable, human-centered decision-making.
Supported by the U.S. Army Research Institute (ARI), Basic Research Program, this project uses machine learning to study the direction and timing of causal relationships.
We thank Meta Research for the generous support of our project “Addressing biases in measurement of self-reported privacy constructs”.
We thank the National Science Foundation and Amazon for their generous support of our three-year project “Using Machine Learning to Address Structural Bias in Personnel Selection”.
We thank the Defense Advanced Research Projects Agency for their generous support of our project “Theore: Theory-driven curation & reusable evaluation of research claims in social and behavioral studies”.
In this NSF-sponsored project, we integrate substantive bodies of multidisciplinary knowledge to address the acute challenges of mobile privacy.
In this project sponsored by the National Science Foundation, we examine the inconsistent handling of organic data in scholarly publications in social sciences.
In this project sponsored by the National Science Foundation, we evaluate the extent to which Twitter users represent or misrepresent the US population.