Core Viewpoint - The importance of safety and trustworthiness in digital financial innovation is emphasized, highlighting the need for regulatory clarity and market confidence [1][5][6]. Group 1: Digital Financial Innovation Principles - The "high, medium, initial, small" principle is proposed to balance innovation and risk tolerance, allowing for some flexibility in risk management [1][8]. - Financial models must prioritize safety, reliability, and explainability, with a focus on advanced security technologies to prevent malicious attacks [2][4]. Group 2: Key Considerations for Financial Models - Financial models should avoid pitfalls such as model hallucination, discrimination, algorithmic resonance, AI deception, and the coldness of machine interactions [4]. - The need for legal clarity regarding the status and responsibilities of financial AI is highlighted, ensuring that financial institutions have clear decision-making accountability [4][6]. Group 3: Economic Efficiency and Collaboration - Industry-level financial models should be developed through extensive data pre-training and customization to reduce development costs and expand application ranges [5]. - Collaboration between strong tech companies and financial institutions is encouraged to lead the development of industry-level financial models and applications [5]. Group 4: Regulatory Innovation - The necessity for a robust regulatory framework for digital finance is stressed, including the establishment of clear business norms and a comprehensive regulatory system [6][7]. - The balance between innovation and regulation is crucial, with a call for a flexible approach that does not stifle innovation while ensuring market stability [7][8].