How to Avoid AI Hallucinations in Research | Jason Gulya

Learn how to use AI tools like SciSpace responsibly, critically, and effectively for academic research. In this session, Prof. Jason Gulya (Berkeley College) breaks down a practical, step-by-step workflow for designing research questions, evaluating sources, avoiding AI hallucinations, and integrating AI into your literature review process.

Whether you're writing a thesis, preparing a research paper, or conducting a systematic review, this session teaches you how to stay in control, maintain critical thinking, and use SciSpace to improve—not replace—your research.

Timestamps
00:00 – What it means to use AI for Research
01:27 – About Jason Gulya
02:21 – Session goals: building a research flow with (and beyond) AI
02:50 – Framing a project (research question, scope & methods)
05:38 – Key questions to ask when using AI in research
09:53 – Why AI shouldn’t build your argument for you
11:01 – Demo 1 in SciSpace: Prompt + Output Analysis
16:01 – Demo 2 in SciSpace: GRIT Prompt + Output Analysis (deeper & more balanced AI output)
25:35 – What to do with the AI output? (Practical workflow)
27:29 – Checking sources: access, reliability & verification
32:21 – Using follow-up prompts to probe gaps & think critically

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Link to Slides - https://gamma.app/docs/The-Researcher...
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About SciSpace:
SciSpace is an AI-powered research platform trusted by 3.5M+ researchers globally including scholars from Harvard, Cambridge, and Johns Hopkins. It supports your entire research workflow: discovery, literature review, AI chat with papers, citation generation, note-taking, PDF-to-video/audio conversion, and writing.

Try SciSpace Agent now: https://scispace.com
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