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Epistemology and Methodology of Research in AI Age
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Epistemology and Methodology of Research in the AI Age maps how artificial intelligence (AI), digital platforms, and big data reshape the foundations of social science and management research. It connects epistemology and research design to the practical choices researchers now face, from defining questions in data-rich environments to handling algorithmic bias and ethical risk. Written for doctoral students, early-career researchers, and methods instructors, this volume supports dissertation work and methods teaching across sociology, psychology, education, economics, and information science. It also anchors the wider series by setting a shared conceptual and ethical baseline for the volumes that follow.
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Keywords
- Algorithmic bias analysis
- Data-driven inquiry
- Digital research methods
- Ethical challenges in AI research
- Research ethics in technology
- Social Science Methodology
- Systematic Literature Review
- thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPS Research methods: general
- thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics
Links
DOI: 10.4324/9781003790259Editions