Generative Artificial Intelligence (AI) tools can be used in many ways in your study - to synthesize, create, refine, inspire, test, or modify. Generative AI models can produce code, video, audio, or business simulations. But the outputs aren’t always accurate—or appropriate.
"Asking for an image of a traditional Thanksgiving dinner may produce an image of a turkey with limes and guacamole." These AI models do their best to follow user parameters but may give back less than useful results.
According to Udacity "AI pits two neural networks together to produce new and original digital works based on sample inputs from the human user."
AI still relies on human input to produce the AI output so you need to know how to talk to the AI and explain in a way that produces the results you want without a garbage text or image.
Don't try and pass of AI writing as your own! Programs such as Turnitin are now checking for AI Writing.
CHATGPT like all language models can at times give nonsensical answers and incorrect information.
Learn more about the
Turnitin AI detection tool.
(Image from ScienceNews.org)
AI & Education Web News & Links
How ChatGPT and similar AI will disrupt education? 4/12/23 Article from ScienceNews
Can Anti-Plagiarism Tools Detect When AI Chatbots Write Student Essays?
https://bit.ly/43vPtl6 EdSurge
Research on Open AI - Majority of this research is in fact open so no paywalls for researching this subject
AI - AI is an international, peer-reviewed, open access journal on artificial intelligence (AI), including broad aspects of cognition and reasoning, perception and planning, machine learning, intelligent robotics, and applications of AI, published quarterly online by MDPI.
"Note that relying on AI-generated images could get you into legal trouble. Some AI tools create a mish-mash of content from artists and brands without permission"
(Inquierer.net, 2023).
Everything and anything from the internet is the training data.
Then we think of copyright... Everything has been scraped.
First Scholarly Articles Related to AI development
Fetzer, J. H., & Fetzer, J. H. (1990). What is Artificial Intelligence? (pp. 3-27). Springer Netherlands.
Hunt, E. B. (1975). Artificial intelligence. Academic Press.
Minsky, M. (1961). Steps toward artificial intelligence. Proceedings of the IRE, 49(1), 8-30.
Shannon, C. E. (1948). A mathematical theory of communication. The Bell System Technical Journal, 27(3), 379-423.
Simon, H. A. (1955). A behavioral model of rational choice. The Quarterly Journal of Economics, 99-118. https://static.aminer.cn/upload/pdf/1700/343/450/53e9a23fb7602d9702b47f9c_0.pdf
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Recent Scholarly AI Articles
Rudolph, J., Tan, S., & Tan, S. (2023). War of the chatbots: Bard, Bing Chat, ChatGPT, Ernie and beyond. The new AI gold rush and its impact on higher education. Journal of Applied Learning and Teaching, 6(1).
Sullivan, M., Kelly, A., & McLaughlan, P. (2023). ChatGPT in higher education: Considerations for academic integrity and student learning. https://journals.sfu.ca/jalt/index.php/jalt/article/view/731
Art to Text Prompt Ideas
https://studentandwriter.com/thousands-of-ai-art-text-to-image-prompt-ideas/
Deepfakes use AI to generate completely new videos or audio, with the end goal of portraying something that didn't actually occur in reality.
The term "deepfake" comes from the underlying technology — deep learning algorithms — which teach themselves to solve problems with large sets of data and can be used to create fake content of real people.
"A deepfake would be footage that is generated by a computer that has been trained through countless existing images," - Business Insider