ArticleF1000Research2025
An Introduction to Generative Artificial Intelligence for Academics.
Article in F1000Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
2 authors.
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Abstract
General overview of artificial intelligence (AI) designed for academic students, workers, researchers, and teachers. A less technical introduction for those not familiar with computer science. It focuses primarily on generative AI (Gen AI), as this is the tool rapidly transforming every aspect of academic work. This primer covers four areas: 1. How does AI know what it knows? - An overview of artificial neural networks, large language models and "knowledge" ; 2. Ethics and best practices - Use cases, legal aspects and oversight; 3. Sources and tools - Support for the research process; 4. Prompting - Strategies to optimize interaction with Gen AI.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.