Using AI for Research and Fact-Finding

Using AI for Research and Fact-Finding is a practical course on using AI tools to investigate questions, evaluate sources, and produce reliable research outputs. Students learn how to use Artificial Intelligence thoughtfully across the research process, from framing better questions to checking claims and presenting evidence with confidence.

Build Reliable Research Workflows With Artificial Intelligence

• Learn how to separate early exploration from evidence-based verification.
• Develop stronger prompts that clarify scope, assumptions, and research goals.
• Evaluate source quality, authority, relevance, dates, and conflicting evidence.
• Create annotated notes, evidence tables, research briefs, and decision memos.

Using AI for Research and Fact-Finding teaches a practical, source-aware approach to research with Artificial Intelligence.

This course shows students what AI can and cannot do in research, helping them avoid overreliance on first answers, unsupported claims, or misleading summaries. Through structured lessons, students learn how to design useful research questions, build research plans with AI, map unfamiliar topics, and identify the key concepts that shape reliable investigation.

Students also practice finding credible sources beyond surface-level results, evaluating authority and relevance, and working carefully with time-sensitive claims. The course covers essential fact-checking methods, including cross-checking claims across multiple sources, detecting hallucinations and misquotations, and handling uncertainty when evidence conflicts.

By applying Artificial Intelligence to documents, reports, papers, statistics, charts, and long-form sources, students learn how to extract evidence and turn it into clear research outputs. After completing the course, students will be able to use AI as a disciplined research assistant and produce more accurate, transparent, and decision-ready work.