
Image generated by Google Deepmind. Aside from this image, none of the text or content of this article has been AI-generated or refined.
In a little over five minutes, Adam Aleksic’s Ted Talk about social media, language trends, and AI software completely changed my relationship with writing. It’s no great secret that the tools Aleksic is talking about—Sora, ChatGPT, Claude, Gemini, and others—have dramatically changed the way we approach everyday tasks, from writing simple sentences, to gathering information online. But the rise and fall of linguistic trends and the inherent ways we train programs like ChatGPT and Claude invite a lot more questions than answers. Aleksic is incisive in his critique about AI and the way these tools, often trained using social media posts and other freely available online media, falsely inflate consumer trends and language behaviors. He points to popular fads driving consumer spending and new colloquial words that have entered our vocabulary almost without our noticing. I think Aleksic’s talk offers a lot to the everyday social media and ChatGPT user; but it also means that the pervasive use of AI—from image generation to text editing—must be examined and questioned deeply. I contend that there is no better way, nor perhaps important realm, to examine the concept of AI ethics than in research. From the mundane to the complex, from text generation to data analysis, AI is finding a foothold in academic research. Yet, our ability to determine where and how to use it seems to be limited, especially when students and our academic work in the University is concerned.








