HIKMA Semi-Autonomous Conference is the first experiment in reimagining scholarly communication through an end-to-end integration of artificial intelligence into the academic publishing and presentation pipeline. This paper presents the design, implementation, and evaluation of the HIKMA framework, which includes AI dataset curation, AI-based manuscript generation, AI-assisted peer review, AI-driven revision, AI conference presentation, and AI archival dissemination. By combining language models, structured research workflows, and domain safeguards, HIKMA shows how AI can support - not replace traditional scholarly practices while maintaining intellectual property protection, transparency, and integrity. The conference functions as a testbed and proof of concept, providing insights into the opportunities and challenges of AI-enabled scholarship. It also examines questions about AI authorship, accountability, and the role of human-AI collaboration in research.

翻译：HIKMA半自主会议是通过将人工智能端到端整合到学术出版与展示流程中，重新构想学术交流的首次实验。本文介绍了HIKMA框架的设计、实现与评估，该框架涵盖AI数据集策展、基于AI的稿件生成、AI辅助同行评审、AI驱动修订、AI会议展示及AI归档传播。通过融合语言模型、结构化研究流程与领域防护机制，HIKMA展示了AI如何在保护知识产权、确保透明度与完整性的前提下，支持而非取代传统学术实践。该会议作为测试平台与概念验证，为AI赋能学术研究带来的机遇与挑战提供了深刻见解，同时探讨了关于AI作者身份、责任归属以及人机协作在科研中作用的核心问题。