Apps such as https://chat.openai.com can now collate diverse information in response to a question and compose well phrased readable essays. The are likely to become more capable over time and through better ‘algorithms’ and larger training datasets.
Possible impact areas (more please) :
- ethics
- the process or craft of research
- academic institution processes
- how academic research is owned and monetised
- the drift of academia‘s attention moving to what the apps best facilitate
Academia will soon need AI to verify these types of submissions. I believe some are already in development.
In my opinion, I can see the potential impact of AI-powered text generation in those areas. For instance, ChatGPT or other similar AI systems have the potential to revolutionize several areas of society, including the field of research. They can be used to collate and summarize large amounts of information, provide expert advice, and even generate text, making them a powerful tool for researchers. However, there are also other considerations to take into account.
In terms of ethics, there are concerns about the potential for AI-generated text to be used for malicious purposes, such as impersonation or spreading misinformation. The use of AI-generated text also raises questions about authorship and accountability.
The process or craft of research may be impacted by the ease and speed at which AI can generate text, potentially leading to a decrease in the value placed on originality and creativity in research. It may also make it easier for researchers to quickly produce large quantities of text, potentially leading to a decrease in the quality of research.
Academic institution processes may also be impacted. One potential impact is on academic integrity, as the technology may make it easier for students to plagiarize or cheat on assignments. Additionally, these systems may pose a challenge to the detection of plagiarism and academic misconduct, as they are able to generate unique and original text. Educators may need to adapt their methods for detecting and preventing plagiarism and may need to use technology tools to help them identify AI-generated text. Other areas where AI may impact academic institutions include the automation of repetitive tasks and resource management, which can help educators to focus more on teaching and learning.
The ownership and monetization of academic research may also be impacted. In fact, AI-generated text is making it easier for researchers to produce and publish large quantities of research. Therefore, leading to a decrease in the value placed on original research.
Finally, the drift of attention from academia is moving to what AI best facilitates. As AI-generated text becomes more sophisticated, it may become more useful. Specifically, useful for certain types of research, leading to a shift in the focus of academic research.
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