Core Viewpoint - The integration of large language models (LLMs) into the banking sector is driving digital transformation, but the inherent opacity of these models presents significant challenges in explainability, necessitating the establishment of a transparent and trustworthy AI application framework to ensure safe and compliant operations [3][4]. Regulatory Constraints on Explainability - Financial regulatory bodies are increasingly emphasizing the need for transparency in AI models, requiring banks to disclose decision-making processes to meet compliance standards and protect consumer rights, which serves as a primary external constraint on LLM applications [6]. - In scenarios like credit approval that directly affect customer rights, algorithmic decisions must provide clear justifications to ensure fairness and accountability. Regulations such as the EU's General Data Protection Regulation (GDPR) mandate transparency in automated decision-making, and domestic regulators also require banks to explain reasons for credit application rejections [7]. - Global regulatory trends are converging towards the necessity for AI model explainability, with frameworks like Singapore's FEAT principles and China's guidelines emphasizing fairness, ethics, accountability, and transparency. The upcoming EU AI Act will impose strict transparency and explainability obligations on high-risk financial AI systems [8]. Technical Explainability Challenges of LLMs - The architecture and operational mechanisms of LLMs inherently limit their technical explainability, as their complex structures and vast parameter counts create a "black box" effect [10]. - The attention mechanism, once thought to provide insights into model behavior, has been shown to have weak correlations with the importance of features in model predictions, undermining its reliability as an explanation tool. The sheer scale of parameters complicates traditional explanation algorithms, making it difficult to analyze high-dimensional models effectively [11]. - The phenomenon of "hallucination," where LLMs generate plausible but factually incorrect content, exacerbates the challenge of explainability. This issue leads to outputs that cannot be traced back to reliable inputs or training data, creating significant risks in financial contexts [12].

高盛一直试图摆脱与苹果的合作关系，该合作关系自2019年启动以来一直存在诸多问题，其中包括有关 计算机模型在决定发放信用卡对象方面存在偏见的指控。这家华尔街公司曾经雄心勃勃地进军消费者银 行业务，但很快就以失败告终，最终损失了数十亿美元。 过去两年，高盛在出售这些投资组合时遇到了困难，原因是其客户信用质量较差。据报道，苹果此前已 与包括Synchrony Financial(SYF.US)和第一资本信贷(COF.US)在内的其他潜在合作伙伴进行了洽谈。 智通财经APP获悉，据报道，摩根大通(JPM.US)正在就取代高盛(GS.US)成为苹果(AAPL.US)信用卡发 行方进行深入谈判。 知情人士表示，这些银行和科技巨头正在加紧就资产转移事宜进行谈判。目前尚未达成任何协议。 ...

Market Overview - The Dow Jones index fell by 0.46% to 44,632.99 points, the S&P 500 index decreased by 0.30% to 6,370.86 points, and the Nasdaq index dropped by 0.38% to 21,098.29 points [2] - Analysts indicate that investors are now more focused on the winners and losers in the context of tariffs and new trade agreements, rather than previous concerns about deep recession and runaway inflation [2] Federal Reserve and Market Sentiment - The market is cautious ahead of the Federal Reserve's interest rate decision, with expectations that the benchmark rate will remain unchanged at 4.25% to 4.5% [3] - Analysts suggest that the market is entering a consolidation phase, with a focus on individual stock performance driven by earnings reports [3] Company News - JPMorgan Chase is nearing an agreement to take over the Apple Card business from Goldman Sachs, with negotiations having accelerated in recent months [4] - Novo Nordisk's stock plummeted by 21.83% after the company significantly lowered its full-year earnings guidance due to weak growth expectations for its weight loss drug Wegovy in the U.S. market [5] - Microsoft is reportedly negotiating with OpenAI to secure continued use of its technology even after the potential achievement of artificial general intelligence (AGI) [6] - JPMorgan analysts predict that Apple's first foldable iPhone will be released in September 2026, priced at $1,999 [7] - Apple has lost another AI researcher to Meta, indicating ongoing challenges in its AI strategy [8] - JetBlue Airways announced that its partnership plan with United Airlines has been approved by the U.S. Department of Transportation, allowing for more flexible flight options for travelers [9]