ChatGPT in Universities: Should We Ban or Normalise It
INTRODUCTION
As AI tools increasingly help researchers edit, summarize, draft, and polish manuscripts, a critical question emerges: At what point does valid assistance turn into invalid authorship? If the concepts, investigations, and results remain human-generated, is AI simply a sophisticated writing aid, or does its use oppose the principles of originality, and challenge academic transparency?
Launched by OpenAI in November 2022, ChatGPT, the Chat Generative Pre-Trained Transformer (full form), is an artificial intelligence text generator. And AI Natural Language Processing, or NLP systems like ChatGPT, can form coherent and informative text, ranging from a few sentences or paragraphs to a whole essay in response to specifications from the user, such as length, writing style, or the topic.
ChatGPT need not be banned, because this is part of the Fourth Industrial Revolution and this is the future that we must manage with, not challenge. Banning or preventing the use of ChatGPT is impractical. The academic community should recognize that AI tools will continue to be used and they are here to stay. Across disciplines they will enhance and become more significant.
Everything comes with a few advantages and disadvantages. We have to find the benefits then lessen its risks by awareness and analysing how challenging ChatGPT is for achieving learning results. Tutors must either make findings ‘ChatGPT-proof’ or seek ways to assimilate ChatGPT in helping students to establish new skills.
ChatGPT is not capable of critical thinking as it, essentially, just collects information readily available online to generate a response to a prompt given. Its problem could be fixed by redesigning assignments based on unique imagination, like creating auxiliary applications that form algorithms to beat unwanted or misleading content.
Role of Universities in Dealing with AI
Universities should monitor rather than entirely ban ChatGPT for academic writing, balancing academic integrity with the practical requirement for AI training. Total bans are hard to execute, ignoring the fact how digital tools help research.
Reasons Against Complete Bans:
- Limits of enforcement: Detection tools are often untrustworthy and likely to false positives.
- Campus behavior: Students might use unregulated offline tools or hide little assistance, making dishonesty unrecognizable.
- Incorporation of real-world: Workplaces all over the industries expect familiarity with generative Artificial Intelligence currently.
The Need for Control and Disclosure:
- Product vs Process: Guidelines on ResearchGate recommend using AI for outlining or copyediting while instructing students to write all analysis themselves.
- Barring Fabrication: Rules must strictly prevent using AI to produce fake data or wrong citations, destroying research authenticity.
- Support Equality: Controlled use assists non-native speakers and students with learning adjustments and refine grammar without displacing critical thinking.
Universities must re-envision judgements from one-time written answers to interactive portfolio development, apart from using in-person tests and oral examinations. They must also design curricula to higher levels of critical and ethical thinking, problem-solving and future-oriented solutions and creativity to help students to understand the scope of their careers, empowering them to work on different issues with a variety of outcomes.
Whether online tools capable of predicting text have been written by a machine or a human, based on word selection and sentence formation, these have already emerged from AICheatCheck. Universities should re-evaluate their teaching mission and shift their work mechanism and form it in line with AI, which wraps all fields, like medical, automobile, agriculture, security, and so on. And move away from the classic role that they have been playing for decades. Student’s intellectual capabilities and ethical values should be developed, rather than banning ChatGPT.
Traditionally, universities concentrate on offering students degrees, not learning, and awarding an academic qualification, not on a distinctive skill that the labour market demands. Therefore, to adapt to the challenges of the age of AI and machine learning, they must first match the expectations of the labour market with university graduates and later include AI as a subject for both graduate and post-graduate studies’ curricula.
Challenges of AI for Writers
Finding AI to be accurate is tough. For this reason, several writers collect AI output and submit it as their own, because it saves their time and effort. But if the writer is asserting authorship, they must take accountability for whatever they submit. It’s wrong to submit false writing just as it is unethical to be dishonest (because you are corroding the intellect of the reader).
Although, the same is true for writing without using AI. If someone skips a paper they are citing but they do not take the time to understand it, then they make low quality writing, with false claims. It’s wrong for the same reason mentioned above.
Hence, it is not the AI use that is the problem. The reality is that poor quality writing was produced.
Think of someone who’s unable to do good quality writing. Is it unethical for them to claim authorship over something they didn’t really produce, because AI did it? If someone is a lazy writer then they usually use AI in a sloppy way, which will create low quality writing. The writing might look engaging, because AI can put together confident sounding lines. But, digging deep we often see the writing is still filled with problems. So, yes, this is unethical, returning to the first point.
The problem with AI is not that people are submitting tasks they could not produce without AI. If that were the case, should we see plagiarism-checkers or spell-checkers as unethical? The matter is people are still producing trash work which spoils the mind of society. Thus, it’s better to take help of ChatGPT, if an average writer is ready and well-trained to use the AI tool.
Considering student-submitted written work, the presence of AI raises the bar on what qualifies for a minimum passing mark. Here, we need to be much stricter about issues with grammar, flow, content, etc. The issue with this idea is it means we now expect everyone to work with what AI allows. This could be punishing for people who didn’t use AI because the standards have changed, because the available technology has modified.
Lastly, creativity may no longer be restricted to the ability to just write, but also to use ChatGPT or other Large Language Models (LLMs) to write more creatively or convincingly without guilt.
CONCLUSION
AI is surely not neutral. Whose opinions will the algorithms ignore or exclude? Seems like, the tech industry behind LLMs and AI has enormous amounts of money to spend, with increased media influence and political power. But as reviewers, writers, professors, mentors, and bloggers, we too have the power. We can boost the use of tools that enable writers’ efficiency without diminishing their distinct voices. We can welcome under-represented scholars, celebrate critical thinking, and motivate insightful, genuine scholarly writing so our colleagues and students feel encouraged and bold enough to say no to the “rewrite with AI?” query, and put their thoughts or opinions into their own words.
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