Can Professors Use ChatGPT for Academic Research?

We have yet to reach the limit of what generative AI can consistently create. In fact, hobbyists and professionals are just getting started with leveraging ChatGPT for a variety of long-form text use cases. In just a few seconds, the tool can spit out five-paragraph essays on the metaphors of Romeo and Juliet. What about a scientific essay? What about supporting the presentation of scientific theories? Could professors use ChatGPT for academic research?

Generative AI and ChatGPT automation allow for near-instant searches of massive datasets and the ability to spot inconsistencies that us users might have missed. While this can be a massive boon for scientists and researchers, issues arise with generative AI’s propensity for confidently presenting false information. For example, when asked to write that five-paragraph essay on Romeo and Juliet, if asked to show its sources, ChatGPT will simply make them up.

Despite these issues, René Morkos, the founder and CEO at generative AI company ALICE Technologies and Adjunct Professor of Construction Management at Stanford is confident that Generative AI and ChatGPT automation’s effects will ripple up and down the science vertical and larger academic field. He and other Stanford academics have already been deep in discussion around how to use ChatGPT for academic research. Here’s his take on how ChatGPT could support his own research.

René’s Thoughts:

“ChatGPT is going to change your life, but not the way you think. My name is René Morkos, and I’m an adjunct professor of construction management at Stanford University. I’m also the founder and CEO of ALICE Technologies, a generative AI company for construction that can generate millions of different ways to build a given construction project, reducing construction durations by 17%, and labor costs by 13%.

So, what does ChatGPT and other generative AI mean for the science vertical? We’ve been having that discussion amongst Stanford researchers for some time, and whether or not ChatGPT will fundamentally change how research is done. For example, not only are we asking if it can create papers but can it grade them?

When I’m doing research, I split my time into three categories: creating, arranging, and polishing. Which I work on is usually dictated by how much sleep I’ve gotten. Creating is making the actual pieces that compose the original body of intellectual work. This is a theoretical contribution, the hard part that you need to be fully present and creative for. Arranging is moving those pieces around to create a narrative. And polishing is ironing out the grammar, the formatting, or even writing a short introduction using other sources, stuff that’s relatively easy. ChatGPT is really good at receiving a query and outputting words in the order which it thinks is correct, but it uses large existing data sets to do so, and therefore is limited by what those data sets contain.

It can easily create inaccurate content. It does not have the ability to create new original contributions. It’ll be used for arranging and polishing in the research fields, even creating standard introductions, but it cannot create an original theory yet.”

Follow us on social media for the latest updates in B2B!

Image

Latest

learning
If Higher Ed Wants Experiential Learning at Scale, It Needs a Broader Playbook
April 21, 2026

The ground is shifting under higher education. AI is changing how people learn almost overnight—and at the same time, more than half of graduates are underemployed after finishing their degrees. That’s forcing a more uncomfortable question into the open: what is a college credential really worth today? As employers and governments shift their focus…

Read More
skilled trades mentorship
Why the Modern Data Center Is Forcing Communities and Policymakers to Rethink Infrastructure
April 21, 2026

Data centers have moved from largely invisible digital infrastructure to a highly visible source of public debate as artificial intelligence accelerates demand for power, fiber, and compute capacity. The modern data center is now being built closer to population centers to support low-latency services, bringing critical infrastructure into direct contact with residential communities for…

Read More
Inside the Spot Freight Shift: How Manifold Is Simplifying a Fragmented Logistics Market
April 21, 2026

The freight market is in the midst of a notable shift. With national tender rejection rates approaching 14% by the end of Q1, freight conditions have shifted back in carriers’ favor, often coinciding with increased activity in the spot market. At the same time, logistics teams are juggling an increasingly fragmented ecosystem of portals, emails,…

Read More
healthcare 2026
Healthcare’s 2026 Reality: Growing Workforce Gaps, Tiered Access, and the Rise of AI Support
April 20, 2026

Healthcare systems are entering 2026 under mounting pressure. A growing, aging population and rising disease burden are colliding with persistent workforce shortages—highlighted by projections that new cancer diagnoses in the U.S. will surpass two million this year alone. The stakes are no longer theoretical: delays in care, limited specialist access, and widening disparities are…

Read More