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2026 International Conference on Big Data and Artificial Intelligence Ethics (DAIE 2026)

Scopes

Big Data Data privacy protection, definition of data ownership, prevention of data abuse, requirements for data transparency, data sharing mechanism, data ethics framework, data bias and fairness, data anonymization technology, data lifecycle management, data governance policies, data liability tracing, data ethics education, data leakage response, data usage consent mechanism, data cross-border transmission norms Artificial Intelligence Ethics Algorithm Bias and Fairness, Transparency of AI Decisions, Ethical Considerations of Autonomous Weapon Systems, AI Privacy Protection Measures, Ethical Guidelines for Machine Learning, AI Accountability and Liability, Security of Intelligent Systems, Ethical Principles for AI Design, Ethical Considerations of Human-AI Collaboration, Assessment of AI Employment Impact, Research on AI Social Impact, AI Ethical Regulatory Framework, AI Ethical Training Programs, AI Cultural Diversity, Long-Term Risk(including but not limited to the above topics)

Submission Portal

If you have any questions or need any help about the conference, please feel free to contact our conference experts on the right:

罗老师

TEL:157 9988 1881

QQ:2130572537

E-mail:daie@metting-cloud.com

About Plagiarism Check

Crosscheck Powered by iThenticate will be used for plagiarism check. The amount of duplication from previously published content should be less than 20%; If the amount of duplication is 20% - 35%, modification maybe required; if the amount of duplication exceeds 35%, the article will be rejected. Please note that there will be no refund for no-shows.