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"Algorithmic bias in machine learning-based marketing models" by Shahriar Akter, Yogesh K. Dwivedi et al.

This article introduces algorithmic bias in machine learning (ML) based marketing models. Although the dramatic growth of algorithmic decision making continues to gain momentum in marketing, research in this stream is still inadequate despite the devastating, asymmetric and oppressive impacts of algorithmic bias on various customer groups. To fill this void, this study presents a framework identifying the sources of algorithmic bias in marketing, drawing on the microfoundations of dynamic capability. Using a systematic literature review and in-depth interviews of ML professionals, the findings of the study show three primary dimensions (i.e., design bias, contextual bias and application bias) and ten corresponding subdimensions (model, data, method, cultural, social, personal, product, price, place and promotion). Synthesizing diverse perspectives using both theories and practices, we propose a framework to build a dynamic algorithm management capability to tackle algorithmic bias in M ....

Algorithmic Bias , Data Bias , Design Bias , Ynamic Managerial Capability , Machine Learning , Marketing Models , Ocio Cultural Bias ,

CFPB to Prevent Algorithmic Bias in Automated Home Valuation

CFPB outlined a proposal for upcoming joint rulemaking to prevent algorithmic bias in automated home valuation models AVMs. Here, the CFPB is specifically focused on the potential for AVMs to pose fair lending risks to homebuyers and homeowners. ....

Small Business Review Panel , Frank Act , Financial Institutions Reform , Enforcement Act , Federal Reserve Board , Algorithmic Bias , Home Valuation , Small Business , Regulatory Enforcement Fairness Act ,

Young Women Explain Impact of Being Featured on Instagram Explore Page

Young women featured on Instagram Explore are becoming micro famous and getting brand deals overnight. Some feel pressure to capitalize. ....

Machine Learning , Algorithmic Bias , Bi Prime , Tanya Chen ,