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Artificial Intelligence (AI)

An introduction to generative AI and its use in teaching, research, and publishing.

AI and Academic Research

AI tools can be used to support different aspects of the research process, including:

  • Hypotheses Generation: AI can automatically generate research questions based on a given dataset or topic that can serve as starting points for researchers to refine and develop into hypotheses.
  • Literature Review: AI can accelerate the literature review process by analyzing and summarizing a body of literature on a topic, identifying relevant trends, patterns, and gaps in existing knowledge.
  • Data Analysis: AI can aid in processing and analyzing large datasets, making it easier to identify emerging trends, correlations, outliers, and other patterns.
  • Experiment Design: AI algorithms can assist researchers in designing experiments by suggesting variables, methodologies, and potential outcomes based on existing data.
  • Communication of Findings: AI can assist in drafting, proof-reading, and editing research papers.
  • Collaboration and Networking: AI-driven recommendation systems can help researchers connect with peers, collaborators, and experts in their field, fostering interdisciplinary collaboration and knowledge sharing.

Note: Use of AI is fraught with complications involving accuracy, bias, academic integrity, and intellectual property and may not be appropriate in all academic settings. Students are strongly advised to consult with their instructor before using AI-generated content in their research or coursework.

AI Research Tools


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