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Found 4 papers, 1 papers with code
Navigating Fairness: Practitioners' Understanding, Challenges, and Strategies in AI/ML Development
We conducted semi-structured interviews with 22 AI practitioners to investigate their understanding of what a 'fair AI/ML' is, the challenges they face in developing a fair AI/ML, the consequences of developing an unfair AI/ML, and the strategies they employ to ensure AI/ML fairness.
Ethics in the Age of AI: An Analysis of AI Practitioners' Awareness and Challenges
But what do people who build AI - AI practitioners - have to say about their understanding of AI ethics and the challenges associated with incorporating it in the AI-based systems they develop?
How Can Human Values Be Addressed in Agile Methods? A Case Study on SAFe
We elaborate how some current Agile artefacts (e. g., user story), roles (e. g., product owner), ceremonies (e. g., stand-up meeting), and practices (e. g., business-facing testing) in SAFe can be modified to support the inclusion of human values in software.
Software Engineering
Empirical Standards for Software Engineering Research
Empirical Standards are natural-language models of a scientific community's expectations for a specific kind of study (e. g. a questionnaire survey).
Software Engineering General Literature
