Amid the global wave of digital economy,China's medical artificial intelligence applications are rapidly advancing through technological innovation and policy support,while facing multifaceted evaluation and regul...Amid the global wave of digital economy,China's medical artificial intelligence applications are rapidly advancing through technological innovation and policy support,while facing multifaceted evaluation and regulatory challenges.The dynamic algorithm evolution undermines the consistency of assessment criteria,multimodal systems lack unified evaluation metrics,and conflicts persist between data sharing and privacy protection.To address these issues,the China National Health Development Research Center has established a value assessment framework for artificial intelligence medical technologies,formulated the country's first technical guideline for clinical evaluation,and validated their practicality through scenario-based pilot studies.Furthermore,this paper proposes introducing a"regulatory sandbox"model to test technical compliance in controlled environments,thereby balancing innovation incentives with risk governance.展开更多
The main challenge in AI governance today is striking a balance between controlling AI dangers and fostering AI innovation.Regulators in a number of nations have progressively extended the regulatory sandbox,which was...The main challenge in AI governance today is striking a balance between controlling AI dangers and fostering AI innovation.Regulators in a number of nations have progressively extended the regulatory sandbox,which was first implemented in the banking sector,to AI governance in an effort to reduce the conflict between regulation and innovation.The AI regulatory sandbox is a new and feasible route for AI governance in China that not only helps to manage the risks of technology application but also prevents inhibiting AI innovation.It keeps inventors'trial-and-error tolerance space inside the regulatory purview while offering a controlled setting for the development and testing of novel AI that hasn't yet been put on the market.By providing full-cycle governance of AI with the principles of agility and inclusive prudence,the regulatory sandbox offers an alternative to the conventional top-down hard regulation,expost regulation,and tight regulation.However,the current system also has inherent limitations and practical obstacles that need to be overcome by a more rational and effective approach.To achieve its positive impact on AI governance,the AI regulatory sandbox system should build and improve the access and exit mechanism,the coordination mechanism between the sandbox and personal information protection,and the mechanisms of exemption,disclosure,and communication.展开更多
文摘Amid the global wave of digital economy,China's medical artificial intelligence applications are rapidly advancing through technological innovation and policy support,while facing multifaceted evaluation and regulatory challenges.The dynamic algorithm evolution undermines the consistency of assessment criteria,multimodal systems lack unified evaluation metrics,and conflicts persist between data sharing and privacy protection.To address these issues,the China National Health Development Research Center has established a value assessment framework for artificial intelligence medical technologies,formulated the country's first technical guideline for clinical evaluation,and validated their practicality through scenario-based pilot studies.Furthermore,this paper proposes introducing a"regulatory sandbox"model to test technical compliance in controlled environments,thereby balancing innovation incentives with risk governance.
文摘The main challenge in AI governance today is striking a balance between controlling AI dangers and fostering AI innovation.Regulators in a number of nations have progressively extended the regulatory sandbox,which was first implemented in the banking sector,to AI governance in an effort to reduce the conflict between regulation and innovation.The AI regulatory sandbox is a new and feasible route for AI governance in China that not only helps to manage the risks of technology application but also prevents inhibiting AI innovation.It keeps inventors'trial-and-error tolerance space inside the regulatory purview while offering a controlled setting for the development and testing of novel AI that hasn't yet been put on the market.By providing full-cycle governance of AI with the principles of agility and inclusive prudence,the regulatory sandbox offers an alternative to the conventional top-down hard regulation,expost regulation,and tight regulation.However,the current system also has inherent limitations and practical obstacles that need to be overcome by a more rational and effective approach.To achieve its positive impact on AI governance,the AI regulatory sandbox system should build and improve the access and exit mechanism,the coordination mechanism between the sandbox and personal information protection,and the mechanisms of exemption,disclosure,and communication.
