Skip to Main Content
NWACC Library

Artificial Intelligence (AI) Research: Step-by-Step

Research artificial intelligence (AI) using NWACC Library databases. This guide helps you find peer-reviewed scholarly articles, current news, and resources on AI ethics, bias, privacy, and real-world applications.

✅ Check Your Sources

Not all information is created equal. On this page, you’ll learn how to evaluate whether your sources are credible, current, and useful for college-level work.

🔍 Who / When / Why Checklist

  • Who → Who wrote it? Are they an expert, journalist, or random blogger?
  • When → When was it published? Is the information up-to-date for your topic?
  • Why → Why was it written? To inform, to persuade, to sell, or to entertain?

👉 Use this quick test to decide if a source belongs in your paper.

📊 Compare 3 Source Types

Source Type Who wrote it? When published? Why written? Best use in research
Blog post Anyone, no credentials Often undated, not updated Personal opinion, informal Background or perspective only
News article Journalists, editors Very current, same-day possible To inform, sometimes with bias Timely examples and context
Scholarly article Experts or researchers with advanced degrees Published in peer-reviewed journals To share research findings Core evidence and analysis

👉 Strong papers often combine all three: scholarly articles for evidence, news for timely context, and even a blog for perspective. Just be clear about the role each plays in your research.

🤿 Dive Deeper into Evaluation

🔗 Source Evaluation Techniques

Want more practice deciding if a source is trustworthy? The Source Evaluation Techniques guide walks you through strategies for judging credibility, bias, and accuracy so you can feel confident in your research choices.

🔗 Evaluating Information Mini Course

Need a deeper dive? The Evaluating Information Mini Course is a step-by-step resource that shows you how to spot reliable information, avoid weak sources, and strengthen your papers with evidence that counts.