Mixed-methods study maps downstream developers' concerns, practices, and challenges with AI failures in PTM-based software.
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2 Pith papers cite this work. Polarity classification is still indexing.
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A conceptual framework for fair online recruitment is developed from four themes of job seekers' fairness concerns identified via grounded theory on r/jobs data and translated using value sensitive design.
citing papers explorer
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AI Failures in the Eyes of the Downstream Developer: A First Look at Concerns, Practices, and Challenges
Mixed-methods study maps downstream developers' concerns, practices, and challenges with AI failures in PTM-based software.
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Value Sensitive Design for Fair Online Recruitment: A Conceptual Framework Informed by Job Seekers' Fairness Concerns
A conceptual framework for fair online recruitment is developed from four themes of job seekers' fairness concerns identified via grounded theory on r/jobs data and translated using value sensitive design.