Classification Framework for Ethical Risk of Educational Artificial Intelligence From the Perspective of Risk Society
The uncertainty in the development of artificial intelligence technology and the wide range of applications not only bring intel-ligence,convenience and high efficiency to education and teaching,but may also bring about ethical risk issues such as technology abuse,data leakage,and infringement of personal privacy.How to classify irregular,frequent,and systematic ethical risks in the application of ar-tificial intelligence in education has become the focus of current academic circles.Based on Baker's risk society perspective,starting from the intrinsic connection of ethical risk factors in educational artificial intelligence,the application scenarios and sources of ethical risks of educational artificial intelligence are analyzed,and a framework for classifying ethical risks in educational artificial intelligence is proposed to summarize four types of ethical risks,including educational data Risks,machine algorithm risks,technology ontology risks,educational application risks,etc.,and propose ethical risk prevention strategies to promote the sustainable and healthy application of artificial intelli-gence technology in the field of education.
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