中诚信信用分析曹闰：AI时代人工的价值仍需被正确认知

Core Viewpoint - The event "AI Financial Double-Edged Sword: Finding Transformation Opportunities from Safety Bottom Line" highlighted the current state and future potential of AI in the financial sector, emphasizing the need for precision over generality in AI applications [2]. Group 1: AI in Financial Services - AI is currently in an auxiliary role within the company's service processes, with ongoing exploration of more application scenarios [2]. - AI is likened to a "liberal arts student," excelling in information summarization, extraction, and classification, but struggles with precise data extraction from complex texts [2]. - The phenomenon of "hallucination" in AI, where it generates inaccurate information despite correct logic and analysis, is a noted challenge [2]. Group 2: Development and Application of AI - The company is focusing on enhancing AI's precision, with the development of a knowledge base aimed at improving public opinion analysis from general to precise quality [2]. - Major international rating agencies have completed the internal construction of AI knowledge bases, with application scenarios often proposed by employees through brainstorming [2]. - The company's product strategy includes expanding the knowledge base's output beyond public opinion to areas such as risk warning, credit research, and policy interpretation [2]. Group 3: Human Involvement in AI Development - Despite the high demand for AI capabilities, transforming AI's foundational abilities into precise knowledge points requires significant involvement from professionals [3]. - The value of human input in the AI era must be correctly recognized, indicating that human expertise remains essential in the development and application of AI technologies [3].