Core Viewpoint - The forum highlighted the need for a balanced regulatory approach towards artificial intelligence and high-frequency trading, emphasizing the importance of innovation while safeguarding market stability and fairness [1][2]. Group 1: Regulatory Approach - Regulatory agencies should adopt an inclusive and prudent mindset to encourage technological innovation while preventing potential risks associated with technology misuse [1]. - The value objectives in regulating AI applications should be diverse, prioritizing market stability and fairness alongside efficiency [1]. Group 2: Legal Framework - Legislation regarding the legal responsibilities of AI applications should first identify issues that existing legal frameworks cannot address, determining the necessity for new laws [1]. - Information regulation is crucial for managing complex financial markets, with a focus on maintaining capital market stability and fairness for investors [1]. Group 3: Monitoring and Reporting - Requiring programmatic and high-frequency trading investors to report detailed trading information allows regulatory bodies to monitor market dynamics in real-time and address abnormal trading behaviors promptly [2]. - The implementation of programmatic and high-frequency trading reporting systems enhances regulatory efficiency and accuracy by providing valuable data support [2].