A new study shows that moral arguments appealing to care and fairness can persuade both liberals and conservatives in the ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

The future of hiring may utilize AI, but it is also accountable, auditable and, increasingly by law, must include ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

According to @timnitGebru, prominent AI ethics researcher, there remains a significant concern regarding bias and harmful stereotypes perpetuated by AI systems, especially in natural language ...

When critical decision are needed, new research from computer scientists raises the question about the fairness of machine learning models. Machine learning is an integral part of high stakes decision ...

In 2019, former Google engineer Zach Vorhies released over 950 pages of internal documents, proving systemic suppression of conservative content across Google platforms. The materials, disclosed ...

Abstract: A method for evaluating the fairness of machine learning is specified in this standard. Multiple causes contribute to the unfairness of machine learning. These causes of machine learning ...

There was an error while loading. Please reload this page. The Human-Centric Machine Learning seminar course focuses on reading and presenting recent research ...

For decades, the nation’s public sector workers have borne the quiet indignity of reduced Social Security benefits. Arcane rules like the Windfall Elimination Provision (WEP) and Government Pension ...