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In this session, we explore how to conduct a literature review using AI tools designed specifically for research. This webinar covers: • The evolution of literature reviews (library → databases → AI) • Standard vs high-quality vs deep literature review • Semantic search vs keyword search • DOI verification and primary source validation • Chatting with research papers (including equations & graphs) • Using AI agents to chain tasks (literature review → infographic → grant search → presentation) • Integrating Zotero and institutional library access • AI ethics, integrity, and disclosure in academic publishing This video is suitable for PhD students, Master’s students, Faculty members, Academic researchers, Grant writers and Research professionals Unlike general AI tools, this session focuses on research-specific AI workflows that verify sources and reduce hallucination risk. Important topics discussed: AI literature review workflow Deep literature review Research AI vs ChatGPT DOI verification AI agents for research AI ethics in academia Systematic literature review considerations Academic integrity and AI disclosure