This study reviews and analyzes major AI applications in smart finance, including heterogeneous data fusion models for credit risk assessment, real-time intelligent algorithms for financial fraud detection, and AI-powered robo-advisory systems.
This review examines recent progress in large AI models for intelligent manufacturing, covering model architectures, adaptation strategies, system integration, and applications across product development, production processes, equipment maintenance, and manufacturing services.
This review demonstrates that GenAI has substantial potential to support intelligent, sustainable, and data-driven civil engineering practices while emphasizing the need for human expertise and responsible AI implementation.
Results show that Transformer outperforms LSTM in accuracy, robustness, and interpretability, demonstrating the operability and practical value of Responsible AI principles in groundwater prediction to support sustainable water management under climate change and human activities.
The proposed framework includes four stages: knowledge acquisition, data preprocessing, hybrid model integration, and predictive decision support, which improves prediction accuracy, reliability, transparency, and decision-making of next-generation intelligent systems.
It is concluded that the systems that are trustworthy, secure, transparent, sustainable and intelligent are enterprise and industrial operations.
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