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Turku University Library

Librarian's guide to Artificial Intelligence

Are you using artificial intelligence or augmented intelligence?

When you utilize AI applications in your studies, consider whether you're using the application as artificial intelligence or augmented intelligence.

  • Artificial Intelligence = AI does the work, and you don't have to think at all?
  • Augmented Intelligence (Intelligence Augmentation) = The applications are used to support, reflect on, and enhance your own learning.

On this page we use the term "augmented intelligence" instead of "artificial intelligence". Augmented intelligence refers to using applications to support, reflect on, and enhance your learning. They support you in the process of information seeking, but they don't do the thinking for you.

When And How To Use Augmented Intelligence In Information Seeking?

For academic research, it remains advisable to use scholarly databases. However, augmented intelligence applications can be beneficial when you already know a lot about the topic and can critically evaluate their outputs. There are various augmented intelligence applications; some generate text in interaction with the user, while others search for reference literature based on a example text provided.

Different information needs require different search tools. It's vital to first consider your information need and determine if augmented intelligence applications are suitable:

  • When are free online search engines, like Google or Google Scholar enough to meet your information need?
  • When do you need scholarly databases?
  • When can you use augmented intelligence applications?
  • When is it useful to utilize all of the above?

Evaluating the answers generated by augmented intelligence applications can be challenging, as users often lack precise knowledge about what data mass the the responses are based on and how the answers are generated.

  • Applications can produce incorrect and misleading information.
  • Spotting erroneous information isn't easy, especially if the topic is unfamiliar to you.
  • The need for source criticism is pronounced.

Considerations related to the use of language model-based applications (e.g., ChatGPT):

  • You can use such applications to come up with search terms and then perform the actual search in a scholarly database.
  • If you ask an augmented intelligence application to find articles on a desired topic, remember to verify if the articles in fact exist and check their actual content. There can be significant differences between different applications and their versions in this sense.
  • Language model-based applications produce text using algorithms and probabilities. They don't truly "know" or "understand" matters in the same sense as humans do.

Stay Critical!

When using augmented intelligence applications, remember to stay critical:

  1. Know the program you're using and how it works
    • Find out how different applications work. What data are the answers based on? Is the answer based on any content available on the Internet, which may include unreliable information, or on scholarly publications?
  2. Don't rely on a single application
    • You'll achieve the best results when utilizing multiple augmented intelligence applications.
  3. Verify the information you receive
    • Do not trust solely the text generated by a language model-based program.
  4. Stay updated on trends in your field
    • Discover what's happening in your area of expertise, also in the use augmented intelligence.

Remember to discuss with your thesis advisor or course instructor whether using augmented intelligence applications is allowed or desired in your information seeking.

 

Using ChatGPT For Information Seeking

Orientation to the topic

  • You can use ChatGPT and other generative AI as a source of inspiration when brainstorming and formulating your research question. Be aware that it may introduce biased assumptions into the discussion. Remember that it has been trained with data up to 2021, as it has no knowledge of the latest research findings.

Planning your search

  • Generative AI can help you find good keywords for your information search. It is worth asking e.g. ChatGPT to complete its list of search terms several times, rather than settling for the first answer. Please note, however, that this does not replace the need to consult glossaries and check the terms used by experts in the field.
  • AI can help you identify tools or databases that are relevant to your topic. Please note that it may not provide a comprehensive answer from the available sector-specific databases. Nor can it tell you whether our library subscribes to a particular database. For comprehensive information on sectoral and cross-sectoral data sources, please consult the Library's Databases A-Z list.
  • Please note that AI is not trained to formulate search phrases for the purpose of searching for scientific information. If you ask it to construct search phrases for you, you might probably have to edit and reformat them.

Conducting the Search

  • Genreative AI cannot help you with your actual search for information. It cannot search for information in a systematic and transparent way.
  • ChatGPT and other AI applications can tell you how the database works. However, we recommend that you check the manual directly with the database of your choice.  The functionality may have changed and the response may well be out of date.

Evaluation of search results

  • You cannot use generative AI to evaluate search results. Information evaluation is a human skill based on criteria that you yourself consider relevant. As a researcher or student, as a data seeker, you have to decide whether a source is relevant to your work.
  • However, you can use these applications to clarify and translate difficult texts, as it is good for summarising or reformatting text. However, remember to be critical of sources, i.e. don't believe everything - AI may present biased views.

References and citations

  • Generative AI  is unable to provide real sources for the texts it writes. It can provide a list of sources on request, but usually the sources are incorrect or completely fictitious.
  • ChatGPT  and other AI applications are also unable to create bibliographies using certains citation styles. Reference management software, like Zotero and others, support a myriad of citation styles and are good tools for this purpose.

When using AI applications, always consider how they handle the data you enter. As a general rule, all data input to AI services is stored outside the EU/EEA and cannot be deleted from there. For example, no personal data, business secrets, confidential information or sensitive information may be entered into the services.

Instructions on how to restrict the use of your input for AI training in ChatGPT.

Augmented Intelligence-based Academic Information Seeking Tools

AI tools available at Turku University Library

The AI tools available through the Library are available to you with your UTU ID. There is no need to create a separate user account for the services.

All tools can be used in languages other than English. Please note, however, that in most cases the language you use will also affect the results. Most of the material that the tools use is in English, which means that the articles found are most likely to be in English, even if you have spoken to the tool in another language.

Scopus AI

  • AI assistant integrated with the Scopus database, you can find it in the database under its own tab
  • Can be used, for example, at the beginning of a search to familiarise yourself with a topic
  • Uses database data from 2003 onwards
  • Can be used in natural language
  • Presents the results as a summary, but also produces a concept map, a list of the most relevant researchers and a list of emerging research themes
  • More information about the tool and how to use it can be found in the Elsevier Scopus Guide

Web of Science Research Assistant

  • AI assistant integrated with the Web of Science database, you can find it in the database under its own tab
  • Can be used, for example, at the beginning of a search to familiarise yourself with a topic
  • Uses the Web of Science Core Collection data
  • Can be used in natural language
  • Presents the results as a summary, but also produces a concept map, a list of the most relevant researchers and visualisations of e.g. references
  • More information about the tool and how to use it can be found in the Clarivate Authors / Researchers Guide

Keenious

  • AI-based article search tool
  • Select Sign up with Microsoft on the Keenious login page and log in with your UTU credentials
  • Uses OpenAlex as its data; OpenAlex contains a large amount of data from open access and non-open access journal articles
  • Can be used in natural language
  • Analyses the input text, e.g. a question, a Word file containing your own text, or an article PDF file, and searches for articles based on it
  • Generates a list of articles related to the topic, also provides a list of topics related to the subject area
  • The tool can be used in a web browser and in a word processor (MS Word, Google Docs) via an add-on
  • More information about the tool can be found on the Keenious page of this guide

Other AI-powered article search tools

Elicit

  • Login is required for this tool which summarizes scientific articles based on a question or another article
  • Search queries can be written in natural language, preferably in English
  • Presentation video

Semantic Scholar

  • No login required, but it's recommended
  • Allows brief keyword searches
  • Displays article references
  • Highlights the most cited articles and gives recommendations based on the topic
  • Instructional video

Tips from other libraries' AI guides