人工智能赋能研究:科学如何从人工智能中受益的10种方式

César França
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摘要

本文探讨了人工智能(AI)对科学研究的变革性影响。它强调了人工智能改变科学家工作的十种方式,包括强大的参考工具、对研究问题的更好理解、增强的研究问题生成、优化的研究设计、stub数据生成、数据转换、高级数据分析和人工智能辅助报告。虽然人工智能提供了许多好处,但必须考虑偏见、隐私问题以及人类与人工智能合作的需求等挑战。这篇文章强调,人工智能可以增强人类在科学方面的创造力,但不能取代它。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI empowering research: 10 ways how science can benefit from AI
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.
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