Jiang Jie
[Purpose] The paper exposed risks,causes,and countermeasures of big data mining in the iterative development of artificial intelligence.It would help to build an ecology chain of intellectualized synergistic innovation.[Methods] The article classified many risks in big data mining,which included infringing data property in the course of intellectualized data collection,changing data anonymization in drawing the outline of relevance,disrupting dynamic equality by the shortage and loss of the black box,striking the free will by algorithm decision-making mechanism,and suggested data mining principles and countermeasures.[Results] Different controlling ideas and varied management abilities of participants,complicated and diversified interest requirements,and the correspondent lagging policies and laws,brought above risks.It was necessary to abide by big data principles,such as equal participation,high quality inputs,complete deletion,and fair running;enrich provisions for data property right,improve rules of data privacy,define the mining qualification and the entrance criteria for public powers,promote the integrative international scheme about cross-border data mining,and perfect relative remedies,etc.