The development of new technology represented by generative artificial intelligence has rapidly swept every corner of the digital society.The deep integration of data and algorithms in the new format of digital marketing has profoundly changed the traditional marketing model.However,the gradual loss of control of the power of generative artificial intelligence algorithms leads to a series of legal risks such as the alienation of the consumers'legal status as the subject,the discrimination of personal-ized recommendation algorithms,and the alienation of information cocoons formed by algorithmic black boxes.These algorithmic legal risks make the algorithmic trust gradually lost in the new format of digital marketing.Only by reconstructing algorithmic trust and algorithmic accountability can algorithmic crises and algorithm risks be resolved,the governance trust of algorithmic specification be constructed from external responsibility attribution,the contract trust of algorithmic specification be constructed from internal contract integrity,and the technical trust of algorithmic specification be constructed from the underlying technical design.On the basis of reconstructing the algorithmic trust and accountability,the algorithm is regulated,the subject-behavior-responsibility chain at the legal level is reshaped,the consumer's right to data access is given to balance the data circulation and protection,and the algorithm is governed at the technical level through blockchain technology so as to realize the legal preven-tion and control of the risks of the generative artificial intelligence algorithm in the new digital marketing format.
关键词
算法信任/算法问责/数据访问/数字营销/算法权力
Key words
algorithmic trust/algorithmic accountability/data access/digital marketing/algorithmic power
维普
万方数据