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Bias in adjudication and the promise of AI:Challenges to procedural fairness

• Authors : Figueiredo Peluso Lopes, Giovana

Subjects: artificial intelligence; procedural fairness; AI and judiciary

• Source: Figueiredo Peluso Lopes, G 2025, 'Bias in adjudication and the promise of AI : Challenges to procedural fairness', Law, Technology and Humans, vol. 7, no. 1, pp. 47-67.

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Social interpretation bias and inflexibility:Mapping indirect pathways from pathological personality traits to symptom clusters of anxiety and depression

• Authors : Vernimmen, Geert; Gadassi-Polack, Reuma; Bronstein, Michael V.

Subjects: personality; cognitive bias; interpretation

• Source: Vernimmen, G, Gadassi-Polack, R, Bronstein, M V, De Putter, L & Everaert, J 2025, 'Social interpretation bias and inflexibility : Mapping indirect pathways from

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Social bias blind spots:Attractiveness bias is seemingly tolerated because people fail to notice the bias

• Authors : Jaeger, Bastian; Paolacci, Gabriele; Boegershausen, Johannes

• Source: Jaeger, B, Paolacci, G & Boegershausen, J 2025, 'Social bias blind spots : Attractiveness bias is seemingly tolerated because people fail

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Notes on the variance of a pseudo-weighted estimator for selection bias correction

• Authors : Scholtus, S.; Liu, A.; de Waal, T.

Subjects: Analytical variance estimation; Data integration; Nonprobability sample

• Source: Scholtus, S, Liu, A & de Waal, T 2024, 'Notes on the variance of a pseudo-weighted estimator for selection bias correction', Metron.

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Mitigating implicit and explicit bias in structured data without sacrificing accuracy in pattern classification

• Authors : Hoitsma, Fabian; Nápoles, Gonzalo; Güven, Çiçek

Subjects: Bias mitigation; Fair machine learning; Instance reweighting

• Source: Hoitsma, F, Nápoles, G, Güven, Ç & Salgueiro, Y 2024, 'Mitigating implicit and explicit bias in structured data without sacrificing accuracy in pattern

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Mitigating implicit and explicit bias in structured data without sacrificing accuracy in pattern classification

• Authors : Hoitsma, Fabian; Nápoles, Gonzalo; Güven, Çiçek

Subjects: Bias mitigation; Fair machine learning; Instance reweighting

• Source: Hoitsma, F, Nápoles, G, Güven, Ç & Salgueiro, Y 2024, 'Mitigating implicit and explicit bias in structured data without sacrificing accuracy in pattern

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Emotional memory bias in adolescents with chronic pain:Examining the relationship with neural, stress, and psychological factors

• Authors : Biggs, E. E.; Timmers, I.; Heathcote, L.C.

Subjects: Amygdala; Chronic pain; Cortisol

• Source: Biggs , E E , Timmers , I , Heathcote , L C , Tremblay0McGaw , A G , Noel , M , Borsook , D & Simons , L E 2024 , ' Emotional memory bias in adolescents with chronic

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Notes on the variance of a pseudo-weighted estimator for selection bias correction

• Authors : Scholtus, S.; Liu, A.; de Waal, T.

Subjects: Analytical variance estimation; Data integration; Nonprobability sample

• Source: Scholtus , S , Liu , A & de Waal , T 2024 , ' Notes on the variance of a pseudo-weighted estimator for selection bias correction ' , Metron .

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Correcting selection bias in nonprobability samples by pseudo weighting

• Authors : Liu, A.-C.

• Source: Liu, A-C 2025, 'Correcting selection bias in nonprobability samples by pseudo weighting', Doctor of Philosophy, s.l. https://doi.org/10.26116/tsb.41936638

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SOBR:A Corpus for Stylometry, Obfuscation, and Bias on Reddit

• Authors : Emmery, Chris; Miotto, Marilù; Kramp, Sergey ...

Subjects: corpus; computational stylometry; author identification

• Source: Emmery , C , Miotto , M , Kramp , S & Kleinberg , B 2024 , SOBR : A Corpus for Stylometry, Obfuscation, and Bias on Reddit . in N Calzolari , M-Y Kan , V Hoste , A Lenci

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