Crypto industry news: Officials in charge of relevant departments under the National Financial Regulatory Administration responded to a reporter’s question regarding the “Guiding Opinions on the Secure Development and Application of Artificial Intelligence in the Banking and Insurance Industries,” and proposed that financial institutions should build an artificial intelligence application capability system that combines security, transparency, and responsibility with traceability, and that coordinates risk prevention and control with business development. Strengthen robustness, improve model development and testing management, continuously monitor model performance, and establish a regular iteration and optimization mechanism. Promote explainability by developing model explainability methods and conducting audits of artificial intelligence algorithms on a regular basis. When artificial intelligence technologies with insufficient explainability are applied in high-risk scenarios, they can only be used as auxiliary tools. Strengthen data security and personal information protection, strictly implement the requirements for data classification and hierarchical protection, standardize data access permissions, enhance the construction of model security safeguards, and strengthen content filtering and de-identification management to effectively prevent customer privacy leaks.