AI Governance and System:Current Situation and Trend

AI Governance and System:Current Situation and Trend

Blog Article

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 Wireframe Coffee Table 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 Jackets/Outerwear 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.