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How Can We Use Artificial Intelligence in Social Sciences
Abstract
This chapter explores the transformative impact of Artificial Intelligence (AI) on the social sciences, examining how technologies like machine learning, natural language processing (NLP), big data analytics, and neural networks reshape research methodologies, data collection, and theoretical frameworks across disciplines such as sociology, psychology, political science, anthropology, and economics. The chapter investigates the ethical, methodological, and epistemological challenges of AI integration. Using a qualitative methodology, it analyzes literature and case studies to assess AI's capabilities and limitations. Findings show AI-powered tools enhance data processing and prediction, but also raise concerns about data privacy, algorithmic bias, and the opacity of AI models. The chapter concludes that AI should complement, not replace, traditional methods, with a focus on transparency, ethical safeguards, and interdisciplinary collaboration.
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