Beyond bias: algorithmic machines, discrimination law and the analogy trap
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Machine learning fairness enhancement methods based on data bias correction are usually divided into two processes: The determination of sensitive attributes (such as race and …
AI-driven healthcare systems perpetuate gendered and racialised health inequalities, misdiagnosing marginalised populations due to historical exclusions in medical research and dataset construction. These disparities are …
The rapid integration of artificial intelligence (AI) into critical decision-making domains—such as healthcare, finance, law enforcement, and hiring—has raised significant ethical concerns regarding bias and …
PurposeThis study examines the impact of data bias and algorithmic discrimination on individual credit accessibility in China’s financial system. It aims to align financial inclusion …
Home Submit GLJ Online 112 Student Notes Contest 112 Student Notes Contest The Georgetown Law Journal & GLJ Online present the winner of the fourth …
NeurIPS 2025 Expo Call NeurIPS is soliciting applications for the EXPO (Talks, panels, demonstrations, workshops, and active training classes) from Diamond & Platinum exhibitors.The NeurIPS …
NeurIPS 2025 Mexico City – Call for Startup Pitch We’re thrilled to announce the Startup Pitch Competition at the Mexico City satellite location of NeurIPS …
San Diego Mexico City NeurIPS 2025 @ San Diego Convention Center San Diego Convention Center Map Start Here Everyone is expected to follow the Code …
2025 Reviewer Guidelines Thank you for agreeing to serve as a reviewer for NeurIPS 2025! This page provides an overview of reviewer responsibilities and key …
Bridging the Future: Call for Proposals The Neural Information Processing Systems Foundation solicits proposals to support broadening participation activities in Artificial Intelligence and Machine Learning. …
NeurIPS 2025 Call For Education Materials Educational Content for the AI Education Resource Showcase As part of the NeurIPS 2025 One-Day Event on AI Education, …