In my experience ChatGPT and other generative-AIs are transformative tools that do things other qualitative data analysis programs cannot. In particular, their ability to both summarize data sets and then carry on extended conversations are unique advantages. By comparison, programs like NVivo and EndNote simply automate things that were already done manually.
No, it is potential but not yet. There has been a trend to use ChatGPT and other generative AI in academic research but a set of concerns regarding replicability, data security, data ownership and right, biases etc. at the moment, pls consult with policies of your institution, the journal you target, and ethics review boards.
In my opinion (frustration), ChatGPT, like NVivo, EndNote, and similar tools, is undoubtedly part of the modern academic toolkit. However, its capabilities represent a significant evolution in how we interact with technology. While tools like NVivo and EndNote are rule-dependent systems designed to aid specific academic tasks (e.g., qualitative analysis or reference management), ChatGPT is built upon language processing models capable of developing dynamic rules and logic paths. These paths are both prompt-driven and modifiable by data learned during training. It is not reasoning; rather, it excels at comparing, contrasting, and constructing responses by minimizing resistance to new inputs and synthesizing existing data.
A Comparison of Precursor Tools and AI Models
Precursor Tools (e.g., NVivo, EndNote):Rule-Dependent: Operate within fixed frameworks designed for niche academic functions. Task-Oriented: Focus on predefined goals like organizing references or analyzing text data. User-Driven: Depend entirely on the user's explicit commands and manual inputs.
ChatGPT and Advanced Language Models:Dynamic Logic: Capable of adapting rules and constructing responses based on diverse inputs. Contextual Flexibility: Understands and processes natural language to provide tailored outputs across a wide range of disciplines. Prompt-Driven Logic: Generates responses through iterative dialogue, allowing nuanced paths to emerge.
These examples and distinctions make AI tools unique but not independent creators. Instead, they remain highly advanced instruments within the academic arsenal.
AI as a Tool, Not an Author
My argument is that, AI should always be considered a tool—not an independent creator—aligning with the principle that creative works are fundamentally human. Tools like ChatGPT enhance productivity, creativity, and knowledge construction but do not originate ideas, emotions, or personal insights. For instance:
The book you write using AI remains yours because the originality stems from your intent, creativity, and unique vision.
Similarly, a painting assisted by AI reflects the choices, themes, and artistry of the human creator, not the tool.
Attempts to credit AI with patents or copyrights risk conflating tools with creators. AI lacks the capacity for intent, moral reasoning, or subjective experience—qualities essential for authorship. Granting AI ownership over its outputs not only undermines the human creator but also sets a precedent for relinquishing accountability and ownership in creative and academic endeavors.
Plus my "pet peeve". it opens the predatory jaws of some of our corporate monsters out there to pounce on unsuspwcting young engineers, 'using all kinds of tricky contracts" to steal their intellectual creations. This is sad I have arrows in my bak to prove it :)
The Role of Education and Creativity
I also think the rise of AI exposes significant weaknesses in education systems' stagnation, emphasizing the need for:
Creativity Over Memorization: Education must pivot from rote learning to fostering creativity, critical thinking, and problem-solving. Let us stop teaching what to think, instead this is the age of how to think.
Reconceptualizing Homework: For example, homework assignments should require original, thought-driven responses that AI can aid but not complete independently.
Guiding Ethical Use: Educators should teach students how to use AI as a tool for exploration and learning, rather than as a shortcut to avoid effort.
Instead of legislating against AI, we should legislate for adaptive education systems. Laws and policies should evolve to reflect the reality of technological growth while fostering human creativity and intellectual independence.
Conclusion
AI, including ChatGPT, represents a transformative leap in tool-making rather than authorship. It serves as a mirror to humanity’s ingenuity, revealing weaknesses in how we learn, create, and govern. By recognizing AI as a tool and not a creator, society can leverage its capabilities to elevate human potential, creativity, and learning. Therefore, it is worth repeating, the real challenge lies not in legislating AI, but in reforming the systems—educational, legal, and societal—that govern its use and development.