There is an infinite number of AI-Powered tools to help in research. Check this page for some additional tools.
Articles Consulted
Cole, V., & Boutet, M. (2023). ResearchRabbit. The Journal of the Canadian Health Libraries Association, 44(2), 43–47. https://doi.org/10.29173/jchla29699
De Silva, D., & El-Ayoubi, M. (2023, June 20). Three ways to leverage ChatGPT and other generative AI in research. Times Higher Education. Retrieved from link.
Maslach, D. (2023, December 14). Generative AI can supercharge your academic research: But remember: LLMs are your partner—Not your replacement. Inspiring Minds. Retrieved from link.
Tucker, D. (2023, August 1). Elsevier takes Scopus to the next level with generative AI. News from Elsevier. Retrieved from link.
Books Consulted
Bowen, J. A., & Watson, C. E. (2024). Teaching with AI: A practical guide to a new era of human learning. Johns Hopkins University Press.
Mollick, E. (2024). Co-Intelligence: Living and Working with AI. Portfolio Penguin.
Robertson, S. (2022). Aliens among us: Ten surprising truths about Gen Z. Battle Ground Creative.
Newsletters Consulted
Hardman, P. (2023, Nov. 30). Structured prompting for educators: Experiments in how to get the best out of your fave gen AI tools. Dr Phil's Newsletter, Powered by DOMS™️ AI. Retrieved from link.
Mollick, E. (2024, May 14). What OpenAI did: A new model opens up new possibilities. One Useful Thing. Retrieved from link.
Websites Consulted
AI Academy. (n.d.). Practical introduction to ChatGPT. Retrieved from link.
Cornell University-Research and Innovation. (n.d.). Generative AI in academic research: Perspectives and cultural norms. Retrieved from link.
The University of Arizona Libraries. (2024). The technology behind ChatGPT [video]. University of Arizona Libraries. Retrieved from link.
AI Models Used
Anthropic. (2024). Claude [Large Language Model]. https://www.anthropic.com
Google. (2024). Gemini [Large Language Model]. https://gemini.google.com/app
Microsoft Corporation. (2024). Copilot [Large Language Model]. https://copilot.microsoft.com/
OpenAI. (2024). GPT-4o [Large Language Model]. https://openai.com/index/hello-gpt-4o/
Perplexity. (2024). Perplexity [Large Language Model]. https://www.perplexity.ai/
In a Times Higher Education article by Da Silva and El-Ayoubi (2023), the authors emphasize the potential of GenAI in academic research while also highlighting the need for human expertise, knowledge, and critical thinking in evaluating and refining what AI has generated. The article discusses the impact of GenAI models on higher education and academic research. They propose three critical steps for integrating these tools into research practices while acknowledging their limitations:
a) Refining Research Questions
b) Enhancing Research Efficiency
c) Supporting Research Validation
The authors emphasize that while GenAI can be a powerful assistant, it lacks true understanding and should not replace human expertise. They suggest treating AI as an assistant and not as a substitute for the disciplinary knowledge expert. They also stress the need for human review and validation to ensure accuracy, interpretability, and relevance of the generated outputs.
Dimensions, the world's largest collection of linked research data, has launched an AI-driven summarization feature to enhance discovery of publications, grants, patents, and clinical trials. This new capability allows to quickly access concise, AI-generated summaries for each record in the search results.
Keenious is a resource recommender tool designed to aid in the identification and discovery of scholarly research. It analyzes writing from text documents and PDFs to recommend the most relevant articles and topics to explore using AI combined with conventional search algorithms. It seamlessly integrates with library resources to minimize paywalls, and is freely available to all Carnegie Mellon affiliates.
Scite is an AI-powered research platform that enhances the evaluation of scholarly articles by analyzing citation context. Its key feature, Smart Citations, categorizes citations as supporting, mentioning, or contrasting the cited work, allowing researchers to understand how a paper has been referenced. The Scite Assistant enables users to ask research questions in plain language and receive answers directly from over 32 million research articles.
Scopus has introduced a new AI feature, Scopus AI, designed to enhance the research experience by allowing users to search using natural language queries. This innovative tool provides concise summaries, expanded insights, and concept maps based on the extensive Scopus database, which includes over 27,000 academic journals and 1.8 billion citations. Scopus AI highlights foundational papers and experts in specific fields and suggests follow-up questions for deeper exploration. The feature is currently in a trial phase, available to all users, including those using the free version of Scopus.
Notice: You can access these databases through CMU Libraries Databases A-Z. Make sure you use your Andrew ID and password to create your account.
Database |
Description |
Literature Review |
Quick Overview |
Collaboration |
Related Papers |
Multi-language |
Research Landscape |
In-depth Analysis |
Citation Context |
AI-powered platform with 200M+ peer-reviewed studies, offering natural language searches and AI summaries |
✅ |
✅ |
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Focuses on automating literature reviews and data extraction with advanced search filters |
✅ |
✅ |
✅ |
✅ |
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(available through CMU Libraries) |
AI-powered resource recommender tool that analyzes documents to suggest relevant articles and topics | ✅ | ✅ | ✅ | ✅ | ||||
GenAI model and search engine with contextual understanding and follow-up questions |
✅ |
✅ | |||||||
Free, AI-driven citation-based literature mapping tool |
✅ | ✅ |
✅ |
✅ |
✅ |
||||
(available through CMU Libraries) |
AI-powered platform analyzing citation context across 32M+ articles |
✅ |
✅ |
✅ |
|||||
(also known as typeset.io) |
Collaborative platform with AI Copilot for paper insights and multi-language support |
✅ |
✅ |
✅ |
✅ |
||||
Free, AI-powered search engine with 200M+ academic papers, offering citation analysis and author profiles |
✅ |
✅ |
✅ |
✅ |
✅ |
Created using Claude Sonnet 3.5
Notice: Some of these tools have faced criticism for their use of copyrighted content without prominent attribution and have limitations in fully grasping context compared to human experts. The generated AI summaries can sometimes lack full contextual accuracy compared to human interpretation. Therefore, you are required to approach the use of these AI tools with a critical mindset, ensuring that you verify the information presented and cross-reference it with original sources. It is essential to maintain a rigorous standard of academic integrity by properly attributing any content derived from these tools and acknowledging the limitations inherent in AI-generated outputs.