Opportunities Generative AI tools can help you with:
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Limitations and Concerns Generative AI tools and their output:
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Learn Prompting: Your Guide to Communicating with Artificial Intelligence
"Learn how to use ChatGPT and other AI tools to accomplish your goals using our free and open source curriculum, designed for all skill levels!"
Artificial Intelligence: A Graduate-Student User’s Guide (Leonard Cassuto, Chronicle of Higher Education, 7-25-23)
"AI can play a positive role in a doctoral student’s research and writing — if we let it." Advice is relevant to students or researchers at every level.
How to use AI to do practical stuff: A new guide (Ethan Mollick, 29 March 2023)
Clear, concise explanation of Large Language Models and some of the things they are useful for, including: write stuff; make images; come up with ideas; make videos; coding; and learn stuff. Concludes: "AI is a tool. It is not always the right tool. Consider carefully whether, given its weaknesses, it is right for the purpose to which you are planning to apply it. There are many ethical concerns you need to be aware of. AI can be used to infringe on copyright, or to cheat, or to steal the work of others, or to manipulate. And how a particular AI model is built and who benefits from its use are often complex issues, and not particularly clear at this stage. Ultimately, you are responsible for using these tools in an ethical manner."
15 times to use AI and 5 not to (Ethan Mollick, 9 December 2024)
"There are several types of work where AI can be particularly useful, given the current capabilities and limitations of LLMs. Though this list is based in science, it draws even more from experience. Like any form of wisdom, using AI well requires holding opposing ideas in mind: it can be transformative yet must be approached with skepticism, powerful yet prone to subtle failures, essential for some tasks yet actively harmful for others. I also want to caveat that you shouldn't take this list too seriously except as inspiration - you know your own situation best, and local knowledge matters more than any general principles. With all that out of the way, below are several types of tasks where AI can be especially useful, given current capabilities—and some scenarios where you should remain wary."
Video by Jane Stimpson of the Massachusetts Library Association. Recorded October 2023.
AI ethics: The ethical issues of artificial intelligence, Harry Guinness (zapier.com) 3/22/23
"With the rise of text-generating AI tools like GPT-3 and GPT-4, image-generating AI tools like DALL·E 2 and Stable Diffusion, voice-generating AI tools like Microsoft's VALL-E, and everything else that hasn't been announced yet, we're entering a new era of content generation. And with it comes plenty of thorny ethical issues."
Using AI: Cases and Concerns (West Virginia University library guide)
"ChatGPT can clearly help with generating text and assisting with various language-related tasks. While ChatGPT and text generators like it have many potential benefits, there are also certain limitations and challenges associated with their use." The guide reviews five particular risk that "should raise concerns among all academics:"
This is how AI bias really happens—and why it’s so hard to fix, Karen Hao (MIT Technology Review), 2/4/19
"We often shorthand our explanation of AI bias by blaming it on biased training data. The reality is more nuanced: bias can creep in long before the data is collected as well as at many other stages of the deep-learning process. For the purposes of this discussion, we’ll focus on three key stages."
Scholars are supposed to say when they use AI; do they?, Stephanie Lee (The Chronicle), 12/18/24
"Many publishers now require authors to disclose when they use large-language models like ChatGPT to help write their papers. But a substantial number seemingly aren’t, according to Alex Glynn, a research literacy and communications instructor at the University of Louisville."