1、Ethics of Artificial Intelligence in Education:A Reference Framework(2026)Human Agency Synergistic Symbiosis Context-Appropriate Beneficence Differentiated Governance&ApplicationExpert Advisory Committee of World Digital Education AllianceProfessional Committee on Ethics and Governance of Artificial
2、 Intelligence Open AllianceHangzhou,China2026iiTable of ContentsI.Introduction.1(I)Background.1(II)Definition and Connotation.2(III)Purpose and Vision.3(IV)Core Philosophy.4(V)Scope of Application.6II.Fundamental Behavioral Guidelines.7(I)Strengthen the Boundaries of Human-Machine Collaboration and
3、Foreground theValue of Human Agency.8(II)Precisely Align with Educational Contexts and Perfect Differentiated GovernanceMechanisms.9(III)Fortify Data Security Defenses and Strictly Safeguard Privacy Baselines.10(IV)PromoteAlgorithmicFairnessandTransparency,andEstablishRobustAccountability Mechanisms
4、.11III.Risk Types and Responsibility Definition in AI Educational Applications.13(I)Misuse Risks and Accountability for Subjective Fault.13(II)Malfunction Risks and Accountability for Objective Defects.14(III)Systemic Risks and Accountability for Ecological Governance.15IV.Ethical Behavioral Norms f
5、or Educators.17(I)Basic Education Stage.17(II)Higher Education Stage.19(III)Vocational Education Stage.20V.Ethical Behavioral Norms for Learners.23(I)Basic Education Stage.23(II)Higher Education Stage.25(III)Vocational Education Stage.27VI.Ethical Behavioral Norms for Educational Institutions.29(I)B
6、asic Education Stage.29(II)Higher Education Stage.31(III)Vocational Education Stage.33VII.Directives for Differentiated Application and Dynamic Governance.36(I)Prohibited Access:Safeguarding Educational Baselines.36(II)Restricted Use:Guiding Human-Machine Collaboration.37(III)Encouraged Use:Stimulat