Recently it was reported that a professor from news Texas A&M University failed 15 students who provided AI generated content. This professor was not pleased at all with the content provided and punished the students by giving them an incomplete grade in the paper and put their diplomas on hold. This kind of behavior by the professor gained public attention since it was seen as an overly harsh punishment.
The professor used the AI powered ChatGPT to check for the AI generated paper, however, this was not the best approach. This is because ChatGPT itself ruins the AI generated paper by inducing certain meltdown and hallucinations. Therefore, the professor should have instead opted for traditional tools that can detect AI generated papers.
Luckily the university is now realizing its mistake and the students will be exonerated. However, during this investigation it has been revealed that two of the students have themselves admitted that they used ChatGPT for their papers.
This incident clearly brings to light the wrongness of using AI generated content for any work that requires writing as it goes against the code of ethics followed by both universities and companies. It is advisable to use tools such as Turn It In to detect any plagiarization or AI generated content. Professors and teachers should use the right tools and follow guidelines to detect any anomaly in the writing process.
ChatGPT is a chatbot that has been developed by the company ChatGPT Technologies Inc. and it is used as an AI powered tool. It is a frameless and non bias AI powered language generator that works on natural language processing techniques. It can help businesses turn conversations into meaningful actionable insights. Through its natural language processing ability the AI can handle complex requests and can answer with the most accurate and confident results.
The professor responsible for this incident is Deepak Sharma, an associate professor from Texas A&M University. He is known for his work in the area of AI, Natural Language Processing and Machine Learning. He is also an editor for several prominent journals in the field and his research work has been published in major conferences including AAAI and ACL.
