姜翰：AI解码CEO的政治倾向与个性特征

Core Insights - The integration of artificial intelligence (AI) into business is transforming decision-making and operational efficiency in modern enterprises [2] - The research led by Professor Jiang Han at CUHK (Shenzhen) combines machine learning algorithms with corporate governance studies, creating a new tool for strategic decision-making and risk assessment [3] Group 1: AI and Business Transformation - AI is reshaping enterprise management and strategic decision-making through intelligent transformation [3] - The initiative "Exploring AI in Management" aims to redefine the coordinates of management science in the digital age, focusing on interdisciplinary collaboration and the cultivation of talent that understands both models and human behavior [2] Group 2: Research Methodology - Text preprocessing involves three stages: filtering effective statements, using GPT-4o-mini for ideological content selection, and anonymizing entities to enhance model generalization [4] - The BERTopic framework is employed for topic modeling, improving semantic detail capture and resulting in 90 core topics after optimization from an initial 228 [5] Group 3: Predictive Modeling - A classification model is trained using political donations as labeled data, achieving a 71% prediction accuracy with a logistic regression model [7] - AI clusters 90 topics into 9 broader ideological domains, allowing for a more nuanced understanding of executive inclinations in specific policy areas [8] Group 4: Practical Applications - The research provides tools for corporate strategic alerts and governance optimization, as well as AI-enabled behavior analysis systems for manufacturing [9] - The behavior analysis system can identify employee actions in real-time, predicting safety incidents and defect rates, demonstrating high practical value in industrial management [12]