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SCOPE-BIAS: SOCIAL CONTEXTUAL OPTIMIZATION FOR EVALUATING BIAS IN AI SYSTEMS

Full Text Proceedings Book
This study introduces SCOPE-Bias (Social Contextual Optimization for Evaluating Bias in AI Systems), an innovative framework aimed at addressing the shortcomings of traditional bias detection methods in contemporary large language models. Current techniques often struggle to recognize the dynamic and contextual aspects of biases present in ...
Noureen Hameed   +3 more
openaire   +1 more source

Bias Optimality

2002
Mark E. Lewis, Martin L. Puterman
openaire   +1 more source

Estimating Optimal Dynamic Regimes: Correcting Bias under the Null: [Optimal dynamic regimes: bias correction].

Scandinavian journal of statistics, theory and applications
A dynamic regime provides a sequence of treatments that are tailored to patient-specific characteristics and outcomes. In 2004 James Robins proposed g-estimation using structural nested mean models for making inference about the optimal dynamic regime in a multi-interval trial. The method provides clear advantages over traditional parametric approaches.
Erica E M, Moodie, Thomas S, Richardson
openaire   +1 more source

Progression-seeking bias and rational optimism in research and development

Nature Reviews Drug Discovery, 2015
B Clare Lendrem, John D Isaacs
exaly  

Adaptive Bias Estimation Multitask Optimization

2025 12th International Conference on Machine Intelligence Theory and Applications (MiTA)
Wei-Chao Pi   +3 more
openaire   +1 more source

Taking Stock of Unrealistic Optimism

Perspectives on Psychological Science, 2013
James A Shepperd, Erika A Waters
exaly  

Optimism bias leads to inconclusive results—an empirical study

Journal of Clinical Epidemiology, 2011
Benjamin Djulbegovic   +2 more
exaly  

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