the near future,Korea Personal Information Protection Commission（PIPC）Published oneparagraphThe artificial intelligence privacy risk management model systematically proposes the direction, principles, risk types, and mitigation measures of privacy risk management, aiming to provide guidance for enterprises to independently manage privacy risks.

WorldwideAIAgainst the backdrop of rapid development, privacy protection issues have become increasingly important. Especially in traditional privacy breaches (such as data breaches) and emerging risks (such as deepfakes)，PIPCA new artificial intelligence privacy risk management model has been officially released. Intended to provide enterprises withAIA framework for effectively managing privacy risks during data usage to enhance the ability of enterprises to independently manage privacy risks.

ThisModelmainIncluding four core parts，Firstly, it is clear thatPrivacy Risk Managementofprogram.The core of the model is to identify specific types ofAIUsing it as the starting point for risk management, evaluate relevant privacy risks, and develop protective measures based on the nature of the risks.

Next is to determine the types of privacy risks, and this model provides a detailed list of the types of risks that may lead to privacy infringement, which run through themAIThe lifecycle, including potential privacy violations during the planning, development, and deployment phases. Especially in the deployment process of generative and discriminative artificial intelligence, specific classifications have been made for different purposes to ensure more targeted risk assessment for enterprises.

Next isPrivacy risk mitigationofmeasures，This model provides a series of administrative and technical protective measures for enterprises, helping them to manage risks according to their own needs. For example, in administrative protection measures, enterprises can manage the sources of training datasets to ensure that all data used is compliant and legal. At the same time, technical protection measures such as data preprocessing, model fine-tuning, and differential privacy applications have also been clearly proposed.

Finally, there is a reshaping of the privacy risk management framework,The model emphasizes the need to establish a Chief Privacy Officer（CPO）With a professional team, evaluate risks from multiple perspectives and develop systematic risk management policies.

The release of this model not only reflects the South Korean government'sAIThe emphasis on development also provides clear risk management guidelines for enterprises. It helps to enhance the awareness of privacy risks among enterprises, promote the optimization of corporate governance structure, and provide important guarantees for the healthy development of artificial intelligence. In addition, this model is closely related to the recently passed "Act to Promote the Artificial Intelligence Industry and Establish a Trusted Artificial Intelligence Framework" by the South Korean National Assembly, which is the second relevant legislation in the world after the EU's "Artificial Intelligence Act" and marks South Korea's leading position in the field of artificial intelligence governance.