Artificial Intelligence in Social Science Research: A Guide to Ethical AI-Assisted Research in 7 Steps by Apeksha Bhatnagar offers a clear, thoughtful, and methodologically grounded approach to using artificial intelligence in social science research-without compromising ethics, originality, or scholarly rigour. As AI tools rapidly enter the academic ecosystem, researchers are increasingly expected to adapt-often without clear guidance on how far is too far. This book responds to that uncertainty by presenting a structured seven-step framework that integrates AI into the research lifecycle while keeping the researcher firmly in control. Rather than promoting AI as a replacement for human judgment, this book treats AI as a supportive research aid-useful for refining research questions, navigating literature, designing methodologies, organising data, assisting analysis, and improving academic writing-when used responsibly. Grounded in the norms of social science research, the book highlights: Ethical boundaries of AI use in academic workTransparency, accountability, and citation practicesRisks of bias, hallucination, and over-automationThe importance of critical thinking and theoretical groundingWritten in an accessible yet scholarly tone, the book is particularly relevant for: PhD scholars and postgraduate studentsEarly-career researchers and faculty membersResearch supervisors and methodology instructorsInstitutions and journals addressing AI ethicsThis guide does not offer shortcuts or automated solutions. Instead, it equips readers with the clarity, discipline, and ethical awareness needed to engage with AI thoughtfully and responsibly in research. Artificial Intelligence in Social Science Research is an essential companion for scholars navigating the evolving intersection of artificial intelligence, ethics, and social science inquiry. Author's Note Artificial intelligence is reshaping how we understand society. Its ability to analyse vast datasets, identify patterns, and generate insights is unmatched-but it must be used responsibly. Ethical considerations, including bias mitigation, transparency, and privacy, are critical to ensure research remains credible and socially responsible. This book offers a practical, comprehensive, and ethical roadmap for researchers navigating AI in the social sciences. By combining theory, practical guidance, and ethical insights, it equips readers with the skills and confidence to conduct high-quality, responsible research.