As Artificial Intelligence becomes a larger and larger part of our lives socially and industrially, it is also becoming a huge component in academia. What does this mean for research, writing, and the general workings of academia? How is this further being implemented in our lives?

Artificial intelligence in the classroom has become a long winded debate and hurdle for many teachers and students. Generally, we see most of the ethical problems arising in research and writing aspects of academic prospects. Specifically, in humanities courses in which papers are assigned in high volumes or in social/earth/bio fields in which investigative and in-depth research is required in high quantities. Not only has AI inhibited proper learning in classrooms but it continues to allow students to hold themselves back, as they use the large language models as a crutch in these works. Of course copying and pasting a 4 page assignment paper from ChatGPT, putting it through a humanizing AI model, turning it in, and not crediting is 100% plagiarism and not moral writing. We should utilize models such as NotebookLM in our research that can help us find sources, make study guides, and prepare for exams with a podcast.

We have to as a society learn how to utilize artificial intelligence both ethically and beneficially, it is here, getting bigger, getting smarter, and there is nothing we can do about it.