Core Viewpoint - The rapid development of digital finance has highlighted the importance of data security and privacy protection, emphasizing that innovation should be based on safety and trustworthiness rather than merely complex models [1][2][3] Group 1: Digital Finance Innovation - The foundation of digital finance innovation should be trustworthiness, ensuring effective management of AI risks and focusing on the compatibility and applicability of algorithms and scenarios [1] - A proposed framework for digital finance innovation includes a "high, medium, initial, small" principle, aiming to occupy technological high ground while minimizing risks [2] Group 2: Financial Institutions and Innovation - Large and medium-sized financial institutions are heavily investing in fintech, with 13 major banks investing 182.9 billion yuan, averaging 4.07% of their operating income, while smaller institutions face challenges due to limited resources [2] - There is a need for further consolidation among smaller financial institutions to address the widening digital divide [2] Group 3: Decentralized Finance - The potential risks and opportunities of decentralized finance (DeFi) should be studied, including the impact of stablecoins on global payment systems and the development of regulatory frameworks for DeFi [2][3] Group 4: Digital Assets and AI in Finance - The rise of stablecoins has significantly impacted the virtual asset market, with their use in transactions exceeding 90%, and asset tokenization is rapidly penetrating mainstream markets [3] - Future applications of AI in finance should meet the basic requirements of trustworthiness and reliability, with a focus on creating explainable models tailored to different sizes of financial institutions [3]