Abstract: With the rapid development of artificial intelligence,automated decision-making algorithms(ADM) have gradually entered the public domain and increasingly affected social welfare and individual interests.Meanwhile,emerging risks of ADM,such as algorithmic discrimination,algorithmic bias,and algorithm monopoly have raised the demand of governance to algorithm.Faced with information and technology asymmetry among parties involved,traditional legal resources fall short in protecting the rights of users in ADM,which justifies the right to explanation.In addition,the right to algorithm explanation,serving as an important means of algorithm governance,is conductive to making the black box of algorithm moderately transparent,correcting information asymmetry,and balancing the risk burden between the deployer and the user.It has thus become a necessity in regulating ADM deployers and safeguarding the interests of its users.Therefore,the right to explanation has become the focus in both academic and practical realms from home and abroad.However,the right to algorithm explanation in China is faced with the problem of limited eligible parties,insufficient protection scope,and inexplicit content of rights.In this regard,this paper advocates decons-tructing the right to explanation and further reconstructing it from the perspective of machine learning workflow with a hierarchical classification framework.Introducing the concept of machine learning workflow can reasonably extend the scope of the subject and object of the right,while establishing the framework of hierarchical classification can clarify the content and boundary of the right,which considers both individuality and generality of algorithms and balances the efficiency of explanation and the protection of users’ rights.In this way,all parties in ADM can be fully protected,and the development of digital economy can be empo-wered.

Key words: Right to explanation, Algorithm governance, Automated decision making, Protection of personal data