
Welcome to
AI-CS 2026
2026 International Academic Conference on Artificial Intelligence and Case Studies
Venue
Guangzhou, China
Conference Dates
December 18-20, 2026
Submission of Manuscripts
November 04, 2026
Notification Date
November 24, 2026
Registration Deadline
December 08, 2026
All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.
Please send the full paper (Word+PDF) to Submission System.
📤︎Submission System (CN)📤︎Submission System (EN)
Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.
The topics of interest for submission include,
But are not limited to:
📚︎AI-Driven Business and Social Governance Research
1. Theories and applications of generative AI in enterprise digital transformation
2. AI-enabled platform ecosystem, industrial governance and innovation management
3. Quantitative research on AI’s impacts on corporate strategy, organization and innovation
4. Risk governance, ethics and policy design for AI business applications
5. LLM applications in economic management data analysis and public governance
6. Comparative research on AI industrial development and governance in the Asia-Pacific
📚︎Innovative Case Teaching and Research Methodology
1. Standardized development and writing norms of management cases
2. Curriculum design and teaching innovation of case-based instruction
3. Qualitative analysis and triangulation methods for case research
4. Case library construction, case evaluation and teaching effectiveness assessment
5. Local case exploration and indigenous management theory development
6. Cross-cultural case teaching and international case cooperation
📚︎Deep Integration of AI and Case Teaching & Research
1. AIGC-assisted case writing, scenario restoration and data optimization
2. AI interactive classroom, virtual simulation and immersive case teaching
3. LLM-based case coding, topic mining and qualitative analysis
4. Intelligent case library construction and personalized teaching recommendation
5. Prompt engineering for efficient case research and teaching
6. Ethics, risk control and intelligent evaluation of AI case practice
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If you have any questions or inquiries,
Please feel free to contact us.