While ChatGPT can assist with language-related tasks, such as grammar and vocabulary, it is not capable of understanding the nuances and complexities of scientific research.
Recently, Meta shut down its Galactica large language model for scientific text because it made up “facts” but sounded very confident. The concern was that it could pollute the internet with confident-sounding falsehoods.
Another problem is biases. Language models can learn from the data’s biases and replicate them. These biases are hard to see in text generation but very clear in image generation models. Researchers at OpenAI, creators of ChatGPT, have been relatively careful about what the model will respond to, but users routinely find ways around these guardrails...
Another problem is plagiarism. Recent research has shown that image generation tools often plagiarize the work of others. Does the same happen with ChatGPT? I believe that we don’t know. The tool might be paraphrasing its training data – an advanced form of plagiarism. Work in my lab shows that text plagiarism detection tools are far behind when it comes to detecting paraphrasing...
https://theconversation.com/ai-and-the-future-of-work-5-experts-on-what-chatgpt-dall-e-and-other-ai-tools-mean-for-artists-and-knowledge-workers-196783#Inaccuracies
Bias and fairness are critical issues related to developing and deploying chatbot systems like ChatGPT. Bias refers to the systematic and unfair treatment of individuals or groups based on their personal characteristics, such as race, gender, or religion...
(PDF) Exploring ChatGPT Capabilities and Limitations: A Critical Review of the NLP Game Changer. Available from: https://www.researchgate.net/publication/369542495_Exploring_ChatGPT_Capabilities_and_Limitations_A_Critical_Review_of_the_NLP_Game_Changer [accessed Apr 28 2023].
Recent developments in artificial intelligence (AI), particularly large language models (LLMs), have raised warning flags across the scholarly communication landscape for their potential role in research fraud as well as the many copyright issues raised...
But it’s not all gloom and doom. If you’re like me at all, you’ve probably spent a lot of time wondering, what would it sound like had Elvis Presley sung “Baby Got Back” to the tune of “Don’t Be Cruel”. Now, through the computational power of AI, that question has finally been answered. Have a good weekend...
https://scholarlykitchen.sspnet.org/2023/07/14/finally-some-positive-ai-news-elvis-meets-sir-mix-a-lot/?informz=1&nbd=6f03e560-5431-4744-8998-e00223ee7a82&nbd_source=informz
https://scholarlykitchen.sspnet.org/2023/04/12/guest-post-gpt-3-wrote-an-entire-paper-on-itself-should-publishers-be-concerned/
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