Risk,Logic and Specification of Personal Information Protection in Generative Artificial Intelligence Scenarios
Generative Artificial Intelligence(AI)has caused trust crisis from personal information collec-tion,use and generation scenarios,and the traditional personal information self-determination path has been un-able to adapt to the changes in the digital age.The algorithm identification essence of personal information in the application scenario of generative AI becomes a new opportunity for personal information protection.The algo-rithm shifts the personal information identification from causality to correlation,while the personal information circulation constructs information specification based on the scenario consistency theory,thus making the person-al information circulation reasonable and the risk of personal information circulation controllable under the limit of information specification.To reshape the risk regulation path with algorithm identifiability as the core,we need to construct the binary regulation mechanism of digital gatekeeper to form the external supervision standard of personal information circulation.At the same time,supplement the informed consent principle with informa-tion trust obligation in the circulation of personal information,so as to realize the internal circulation mechanism of personal information.The risk of personal information circulation is separately allocated based on scenarios,personal information and model algorithms are classified hierarchically,and the agility governance of personal in-formation protection is promoted.By doing so,the balance between personal information protection and circula-tion can be achieved.
algorithmic identifiabilitypersonal information protectionGenerative Artificial Intelligence(AI)circulation specificationdigital gatekeeper
万方数据
维普
