Nov 9, 2019 · Presented in this paper is a trusted model-lifecycle management platform that attempts to ensure consumer data protection, anonymization, and fairness.
Nov 9, 2019 · Bias in data can have unintended consequences that propagate to the design, development, and deployment of machine learning models.
Analysis Bias in Sensitive Personal Information Used to Train Financial Models · I Introduction · II Motivation · III Trusted Model Executor · IV Data Synthesis and ...
Using unauthorized data to train models in financial services can result in privacy breaches, reputational damage, and potential discrimination against certain ...
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Request PDF | On Nov 1, 2019, Reginald Bryant and others published Evaluation of Bias in Sensitive Personal Information Used to Train Financial Models ...
Analyzing Bias in Sensitive Personal Information Used to Train Financial Models ... Bias in data can have unintended consequences that propagate to the design, ...
This paper examines how datasets can be reproduced using deep learning techniques to effectively retain important statistical features in datasets whilst ...
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[PDF] An Actuarial View of Data Bias: Definitions, Impacts, and ...
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Bias can enter an analysis at multiple points, including but not limited to data collection, data selection, model design, model implementation, and ongoing ...
This paper addresses the problem of identifying attributes that can mimic sensitive attributes by proposing a new approach based on covariance analysis.
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Jun 10, 2024 · Combatting and Minimizing AI/ML Bias · Step 1: Discover and Classify Data · Step 2: Create Data Policies · Step 3: Proactively Monitor & Audit ...