AI Governance and System:Current Situation and Trend

The main purpose of AI governance is to take advantage of AI and reduce the risk.AI governance also aims to build a responsible AI via embracing the influencing factors such as technology,law,policy,standard,ethics,morality,safety,economy,as well as society.AI governance has three aspects:individual intelligent governance,group intelligent governance,human-computer cooperation and symbiotic system governance,which can be divided into three levels:technical level,ethical level,social and legal level.There are four key technologies for AI governance,which are intelligible AI,defense against adversarial attacks,modeling and simulation,and real-time audit.The industry is mostly concerned about developing a responsible AI in that by studying the actual practice of AI governance from leading companies like Google,IBM and Microsoft.Furthermore,tools like interpretability,privacy protection and fairness check for AI systems are already in use.At present,the main research topics on AI governance includes software-defined AI governance,key technologies of AI governance,AI governance evaluation in large-scale machine lear-ning,AI governance based on federated learning,standardization of AI governance,enhancement on artificial intelligence and human-in-the-loop AI training.

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