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Related Experiment Videos

An Introduction to Generative Artificial Intelligence for Academics.

Nate Breznau1, Hung H V Nguyen1

  • 1Organization and Program Planning, German Institute for Adult Education - Leibniz Center for Lifelong Learning, Bonn, NRW, 53175, Germany.

F1000Research
|June 4, 2026
PubMed
Summary
This summary is machine-generated.

This primer introduces artificial intelligence (AI), focusing on generative AI (Gen AI) for academic applications. It covers AI knowledge, ethics, research tools, and effective prompting strategies for users new to computer science.

Keywords:
Artificial Neural NetworkGen AIGenerative Artificial IntelligenceLLMsLarge Language Models

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Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Academic Technology

Background:

  • Artificial intelligence (AI) is rapidly transforming academic work and research.
  • Generative AI (Gen AI) presents new opportunities and challenges for students, researchers, and educators.
  • A non-technical introduction is needed for those unfamiliar with computer science concepts.

Purpose of the Study:

  • To provide a foundational understanding of AI, particularly Gen AI, for academic audiences.
  • To demystify how AI models, such as large language models, acquire and process information.
  • To guide users on ethical considerations, practical applications, and effective interaction with Gen AI tools.

Main Methods:

  • Overview of artificial neural networks and large language models to explain AI "knowledge" acquisition.
  • Discussion of ethical considerations, legal aspects, and oversight for responsible AI use.
  • Exploration of AI tools and strategies for research support and prompt engineering.

Main Results:

  • AI's "knowledge" is derived from vast datasets processed by artificial neural networks and large language models.
  • Ethical use of Gen AI in academia requires understanding legal frameworks and best practices.
  • Effective prompting is crucial for optimizing Gen AI performance in academic tasks.

Conclusions:

  • Generative AI is a transformative tool for academic work, requiring a foundational understanding of its mechanisms and ethical use.
  • This primer equips students, workers, researchers, and teachers with the knowledge to leverage AI effectively and responsibly.
  • Mastering AI interaction through strategic prompting enhances research support and academic productivity.