Research On Risk Management Of Data Usage In Artificial Intelligence Enterprises

In recent years,the Internet has developed rapidly.With the emergence of intelligent and anthropomorphic scenes,higher requirements have been placed on Internet technology.Artificial intelligence(AI)has gradually become the focus of attention of many companies and is playing an increasingly important role in the Internet technology revolution.Data is one of the three key elements of AI,and plays a vital role in the commercialization of AI.For AI companies such as business intelligence,natural language processing,image recognition,and data mining that need to achieve and create value through information and data,owning more data and information means that they can take greater initiative during competitions.AI enterprises are paying more and more attention to data collection.Along with the massive growth of corporate data is the constant emergence of corporate data leakage,and the leakage expands year by year in scope and size.The security requirements of AI data are spawning more security technologies and solutions,but their development are obviously lagging behind that of the AI industry.Based on the research of Company K,a leading AI company,this paper uses related theories and analysis methods of project risk management and data security management to study the risk management issues in the use of data for AI enterprises.Firstly,in-depth survey on the norms,safety,and technical aspects of Company K's data use process are conducted through interview and questionnaire survey,and then qualitative and quantitative analysis of the survey results are conducted to gain the existing problems in the current use of Company K's data;Secondly,risks in the current situation of Company K's data use are identified,and analytic hierarchy process is used to rank the risks to build a risk management index system;lastly,in view of the proposed risks,this paper puts forward the data use risk management measures and implementation schemes for Company K with reference to data security related laws and regulations,standards and industry norms,so as to help Company K reduce the risk of data leakage and improve the company's data security management ability.