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AI Library: AI Tools

 

Artificial intelligence has revolutionized cybersecurity, the Internet of Things, online shopping, product and process optimization, and decision-making for large companies and has revitalized education and research. Research tends to be open and sometimes tedious due to the long time invested in its procedures. However, it is not all bad news because AI tools have been developed to accelerate these processes, resulting in time savings and resource optimization.

Here is a summary of four AI research tools:

  • Rayyan

    This tool uses AI and machine learning to streamline the systematic review process. Several of its modalities allow for creating, collaborating, and translating reviews and an option to view all public reviews. In its systematic review, one can create tags, add filters, use specific exclusion/inclusion criteria, create their own, and add notes, among others. Once this process (whether individual or collaborative) finishes, Rayyan provides the option (compute ratings) to assign a rating to each article based on the filters and criteria used, also showing the undecided options.Therefore, the more decisions made (criteria, filters, tabs), the more accurate the ratings of each article so that the reviewer knows whether to include it or not.

  • Consensus

    Consensus is an AI-powered search engine for finding information in research articles. In other words, it is a Google for researchers. It is worth mentioning that some of the functions of this application are still in the process of refinement, and users can provide feedback to improve the site.

  • Research Rabbit

    This artificial intelligence is considered not a search engine but a discovery engine. It is similar to Spotify but for research articles. Generally, Research Rabbit is a platform for discovering and viewing literature and scholars. The user can create alerts for newly published articles and share collections. Notably, this tool’s extensive database contains over 100 million academic articles, covering more than 90% of the materials in the most common databases, such as Scopus and Web of Science. In addition, it has materials not found on those platforms.

  • SciSpace

    SciSpace is a platform to find, understand, and learn about any publication. Thanks to AI, it can explain and answer questions about research papers and discover publications related to the source document. SciSpace allows researchers, editors, and institutions to collaborate and work efficiently, automating repetitive tasks and displaying information quickly. This platform has metadata of more than 200 million articles and more than 50 million open-access PDF files.

There is no doubt that AI applications are here to stay. Every day, tools are created and improved for researchers, teachers, and students to modernize and enhance their research processes. However, we must remember that these AI applications for educational innovation are tools and not replacements for cognitive processes, critical thinking, or human logical reasoning.

MORE INFORMATION and the whole article in Observatory-IFE Homepage (September 2023). Tecnológico de Monterrey.

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Prompts for Educators

Additional AI Tools

Ithaka S+R has created a Generative AI Product Tracker which lists tools by their primary purposes and includes pricing information, as well as updates on the tools' features and limitations.


 

Keep in mind

If you're going to use a GenAI tool or platform, be sure to use your critical thinking skills. This list of things to keep in mind, adapted from an NPR article, is a good start:

 Privacy: Be cautious about sharing any personal information with AI tools. These platforms may use your input for training AI models, and companies developing these models may have access to what you enter. Are you comfortable with your input data or prompts being shared?

 Purpose: What are you using the software to create? Are you asking an image generator to copy the style of a living artist, for example? Or using it in a class without your teacher's knowledge? Consider the ethical implications of your use case and if you are unsure whether your use case is allowed in an academic context, try this AI "how-to" Manual

 Consider these Cautions: Are you aware of the environmental costs of AI? 

 Consent: If you're creating an image, who are you depicting? Could the person be harmed by the portrayal? What is your intent behind creating this image?

 Disclosure: If you're sharing your AI-generated content on social media, have you made it clear this content is computer-generated? What would happen if they were shared further without that disclosure?

 Fact check: Generative AI get things wrong and it is important to double-check any important information before you post or share it. Have you done this?

Further research has also led to these 7 Core Principles for students.

Credit

Information suggested by the UC San Diego Library research guide on Generative Artificial Intelligence.