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AI: Tips & Tools from Your Librarians: Resources, Tools & More
Overview
Here you will find a list of librarian picks of useful tools, resources, blogs, and more! Each entry will have a brief description, including advantages and limitations when present.
Note: These lists are not designed to be comprehensive and instead the most helpful resources our librarians have for you. Expect them to be added/edited every semester!
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AI in Education by Teresa Hartman: collection of information by a information sciences professor in Nebraska, includes news, reports and more
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The A-Z of AI by BBC News: over 30 terms to know related to AI
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A Simple Guide to Help You Understand AI by BBC News: overview of AI and how it works with animations, featuring how AI reads image
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MIT Technology Review - Artificial Intelligence: aggregated news stories on AI, covering many different aspects of this technology
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How does ChatGPT really work? by the NY Times**: step-by-step overview of how models like ChatGPT are built and tested
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What makes AI chatbots go wrong? by the NY Times**: find out how AI can work oddly or even "hallucinate"
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We asked GPT-3 to write a paper about itself - then tried to get it published: poses ethical questions too about the process and includes considerations of citations
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Artificial Intelligence pages by major news sources:
**See here for Virginia Tech's Library access to the NY Times: https://guides.lib.vt.edu/new_york_times
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Impact, Opportunity and Challenges of Generative AI (2023): report from India that covers many popular AI models plus provides an overview of the technology
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Tips and Trends - AI Developments and Resources for Academic Librarians (2024): although this is listed as being for librarians, it is a great list and overview for anyone in education with resources to learn and discover all about AI
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Speed Dating With Databases & Tools (2023): overview videos of ChatGPT, Google Bard, Perplexity.ai, scite.ai, elicit.org and Research Rabbit from engineering librarians nation-wide
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Project Cora - Understanding Algorithmic Bias (2022): workshop materials for academics on bias and discrimination that can be present in algorithms employed across different technologies
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Using Generative AI Tools In Engineering Education (2023): joint workshop by Andrew Katz (Virginia Tech) and Aditya Johri (George Mason), includes an overview of AI, tools and prompting
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Syllabi Policies for GenAI Tools: includes statements from the USA and world-wide institutions
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(More) Syllabi Policies - Collection: over 140 syllabi included in this blog-style resource
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Guides/Pages by other universities: these are some of our favorites, but there are many more...
- University of Virginia: even has a Zotero group library with the sources featured in their guide
- UCLA: highlights ethical considerations, and they also have a self-paced Introduction to AI Chatbots
- FIU: very comprehensive in coverage, includes videos, tutorials and more for students through faculty
- University of Maryland: includes a link to access their Canvas module to add the material to a course
- University of Wisconsin-Madison: succinct overview, includes a video on how chatbots work by one of their computer science professors
- University of Sydney: covers assessment considerations for teachers
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Microsoft Copilot (previously Bing Chat): designed for many tasks including generating media, understanding topics, creating task lists and more, free at Virginia Tech, approved only for low-risk data (see link for details on access)
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ChatGPT (includes DALL-E 3): probably the most well-known GenAI tool today and can handle everything from writing a bio to helping with code, but may give incorrect information (hallucinate) when asking about searching, free and subscription options
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Claude: another GenAI tool, although is designed around complex tasks like multi-lingual content and higher-order math, free and subscription options
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Google Gemini (formerly Bard): be sure to check their FAQs, similarly to ChatGPT, it can get things wrong sometimes, but can still be a powerful tool, free and subscription options for personal Google accounts only (in select countries)
And for a more comprehensive list see this from information science professionals, by Ithaka S+R:
Generative AI Product Tracker
(Plus check out There's an AI for That)
There are many tools now too specialized for academic research, especially supporting literature reviews. Make sure to analyze your outputs - verify and validate to ensure trust in the results as many are not quite fully mature yet.
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Connected Papers: visualization options based on keywords, title, DOI, etc. to explore literature, based on Semantic Scholar database, free and subscription options
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Consensus: powered by ChatGPT, this AI-powered search engine specializes in extracting and condensing scientific insights from peer-reviewed sources, free and subscription options - VT email should provide subscription access (trial was last February)
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Dimensions Research GPT: also powered by ChatGPT, uses Dimensions' database (broad research database with articles, data, clinical trials, patents and more) to provide answers to research questions and content links, VT subscription to Dimensions includes this add-on - sign up for Dimensions first using your VT email
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elicit.com: another academic-focused tool, can even upload papers to analyze, free and subscription options
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Litmaps: designed to support literature reviews using citation networks to promote literature discovery and research gap identification plus automated alerts, includes research network visualization, very limited free starter and subscription options
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Perplexity.ai: works to give up to date information with sources from academic literature, news, websites and more, free and subscription options
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Research Rabbit: specializes in analyzing citations and helping users explore related publications, free
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SciSpace (typeset.io): designed to support reading research articles with connections to other papers, can search or ask a question with articles included to support answers, free and subscription options
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scite.ai: similar to Perplexity, but is designed for researchers, providing journal articles and more as sources, subscription only (can do free trial)
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Undermind.ai: designed to be a personal research assistant for specific research topics, will walk you through asking a research question and provide curated results, free and subscription options
Coming soon: Web of Science's research assistant AI - see here clarivate.com/blog/beyond-discovery-ai-and-the-future-of-the-web-of-science/ for details.
Also of note that includes machine learning: Covidence - free for Virginia Tech users, designed for literature reviews, especially those in evidence synthesis, learns from your screening of papers as you use it.
Looking to just analyze and/or visualize literature? There are also many options outside of the above AI tools such as Biblioshiny (designed for non-coders too) or VOSviewer, which allow for more customization and detailed analysis.
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Emsley, R. ChatGPT: these are not hallucinations – they’re fabrications and falsifications. Schizophr 9, 52 (2023). https://doi.org/10.1038/s41537-023-00379-4:
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Nature editorial covering one researcher's experience testing ChatGPT in their field
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Mitchell, M. How do we know how smart AI systems are?. Science 381, eadj5957 (2023). https://doi.org/10.1126/science.adj5957
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Overview by a National Academies expert, see NASEM's recent public lecture too on The Future of Artificial Intelligence
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Naddaf, M. ChatGPT generates fake data set to support scientific hypothesis. Nature 623, 895-896 (2023). https://doi.org/10.1038/d41586-023-03635-w:
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Highlights how data analysis with ChatGPT can generate outputs that are hard to recognize as artificial and produced the wrong conclusion upon human analysis
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Conroy, G. Scientists used ChatGPT to generate an entire paper from scratch – but is it any good? Nature 619, 443-444 (2023). https://doi.org/10.1038/d41586-023-02218-z:
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Nature journal news story covering where scientists had ChatGPT produce a research paper in less than an hour
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Hosseini, M., Rasmussen, L., and Resnik, D. Using AI to write scholarly publications. Accountability in Research (2023). https://doi.org/10.1080/08989621.2023.216853
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Discusses drafting AI authorship or not policies and rationale
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