摘要：This paper focuses on the application of artificial intelligence in financial investment advisory services. It begins with an introduction to the background of the rise of AI in finance and the need for investment advisory services, followed by stating the research objectives and significance regarding application effect evaluation and ethical analysis. The application section details various AI technologies like machine learning algorithms, natural language processing, and deep learning models, as well as service modes and functions such as portfolio management, risk assessment, and client interaction. Evaluation of application effects is carried out through performance metrics including accuracy of investment recommendations, return on investment, and risk-adjusted performance, along with a comparative analysis with traditional advisory in terms of efficiency,
quality of advice, and client satisfaction. Ethical challenges are explored, covering data-related issues like privacy and bias, algorithmic transparency and accountability, and the impact on market integrity and investor behavior. Coping strategies and recommendations involve technological solutions, regulatory and policy frameworks, and professional education and training. The conclusion summarizes the research findings and looks into future prospects and research directions.