This paper explores the dual impact of digital banks and alternative lenders on financial inclusion and the regulatory challenges posed by their business models. It discusses the integration of digital platforms, machine learning (ML), and Large Language Models (LLMs) in enhancing financial services accessibility for underserved populations. Through a detailed analysis of operational frameworks and technological infrastructures, this research identifies key mechanisms that facilitate broader financial access and mitigate traditional barriers. Additionally, the paper addresses significant regulatory concerns involving data privacy, algorithmic bias, financial stability, and consumer protection. Employing a mixed-methods approach, which combines quantitative financial data analysis with qualitative insights from industry experts, this paper elucidates the complexities of leveraging digital technology to foster financial inclusivity. The findings underscore the necessity of evolving regulatory frameworks that harmonize innovation with comprehensive risk management. This paper concludes with policy recommendations for regulators, financial institutions, and technology providers, aiming to cultivate a more inclusive and stable financial ecosystem through prudent digital technology integration.

翻译：本文探讨了数字银行与替代性放贷机构对金融普惠性的双重影响及其商业模式带来的监管挑战。研究聚焦于数字平台、机器学习与大语言模型在提升弱势群体金融服务可及性方面的整合应用。通过对运营框架与技术基础设施的深入分析，本研究识别出促进金融可及性并破除传统障碍的关键机制。此外，论文重点探讨了涉及数据隐私、算法偏见、金融稳定性及消费者保护的重大监管问题。采用定量金融数据分析与行业专家定性洞察相结合的混合研究方法，本文阐明了利用数字技术推动金融包容性的复杂性。研究结果表明，亟需构建协调创新与全面风险管理的演进式监管框架。最后，本文为监管机构、金融机构及技术提供商提出政策建议，旨在通过审慎整合数字技术，培育更具包容性与稳定性的金融生态系统。