This article explores the influence and applications of Artificial Intelligence (AI) in analytical chemistry, highlighting its potential to revolutionize the analysis of complex data sets and the development of innovative analytical methods. Additionally, it discusses the role of AI in interpreting large-scale data and optimizing experimental processes. AI has been fundamental in managing heterogeneous data and in advanced analysis of complex spectra in areas such as spectroscopy and chromatography. The article also examines the historical development of AI in chemistry, its current challenges, including the interpretation of AI models and the integration of large volumes of data. Finally, it forecasts future trends and the potential impact of AI on analytical chemistry, emphasizing the need for ethical and secure approaches in the use of AI.

中文翻译：

---

分析化学中的人工智能：进展、挑战和未来方向

本文探讨了人工智能 (AI) 在分析化学中的影响和应用，强调了其彻底改变复杂数据集分析和创新分析方法开发的潜力。此外，它还讨论了人工智能在解释大规模数据和优化实验过程中的作用。人工智能一直是管理异构数据以及光谱学和色谱等领域复杂光谱高级分析的基础。本文还探讨了人工智能在化学领域的历史发展、当前的挑战，包括人工智能模型的解释和大量数据的整合。最后，它预测了人工智能的未来趋势和对分析化学的潜在影响，强调在使用人工智能时需要采取道德和安全的方法。