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AI empowering research: 10 ways how science can benefit from AI

arXiv 2307.10265 ↗First posted 17 Jul 2023cs.GL cs.AIcited by 0

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Abstract (arXiv)

This article explores the transformative impact of artificial intelligence (AI) on scientific research. It highlights ten ways in which AI is revolutionizing the work of scientists, including powerful referencing tools, improved understanding of research problems, enhanced research question generation, optimized research design, stub data generation, data transformation, advanced data analysis, and AI-assisted reporting. While AI offers numerous benefits, challenges such as bias, privacy concerns, and the need for human-AI collaboration must be considered. The article emphasizes that AI can augment human creativity in science but not replace it.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 2 of its 25 references that are in the map. First posted on arXiv 17 Jul 2023.

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References · 2

  1. 2023ChatGPT and a New Academic Reality: Artificial Intelligence-Written Research Papers and the Ethics of the Large Language Models in Scholarly Publishingcited by 51
  2. 2023Scientists' Perspectives on the Potential for Generative AI in their Fieldscited by 22

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