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arXiv 2603.13232cs.DLcs.AI
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自主编辑系统与人工智能的计算研究

Autonomous Editorial Systems and Computational Investigation with Artificial Intelligence

Betron Labs LLC(贝特伦实验室 LLC)

Ahmed Banafea

AI总结:

本文提出自主编辑系统架构,通过持续运行的流程处理新闻和报告作为持久状态,实现AI组件的确定性 orchestration,推动机器辅助新闻和大规模信息合成的研究。

摘要:

自主编辑系统代表一种新兴的计算框架,改变了大规模信息的摄入、组织和分析方式。本文提出一种持续运行的编辑架构,将新闻和报告视为持久状态而非临时文档。系统将编辑组织与调查分析分离,使人工智能组件在摄入、丰富、聚类、验证和持久化阶段实现确定性 orchestration。我们引入基于流水线的设计,使故事通过增量更新、自动重新评估和上下文丰富逐步演变。架构支持可扩展的实时处理,同时保持可追溯性、可重复性和编辑监督。通过将编辑流程框架为计算过程,系统能够实现算法研究、纵向分析和自动发现趋势、不一致性和新兴叙事。本文正式化了自主编辑系统的架构原则、数据流和操作特性,并展示如何将人工智能作为可控、可检查的组件整合,而非透明决策者。所提出的方法为未来研究机器辅助新闻、自动化调查和大规模信息综合奠定了基础。

英文摘要:

Autonomous editorial systems represent an emerging class of computational frameworks that transform how large volumes of information are ingested, organized, and analyzed. This work presents a structured, continuously operating editorial architecture that treats news and reports as persistent state rather than transient documents. The system separates editorial organization from investigative analysis, enabling deterministic orchestration of artificial intelligence components across ingestion, enrichment, clustering, verification, and persistence stages. We introduce a pipeline-based design in which stories evolve over time through incremental updates, automated re-evaluation, and contextual enrichment. The architecture supports scalable real-time processing while maintaining traceability, reproducibility, and editorial oversight. By framing editorial workflows as computational processes, the system enables algorithmic investigation, longitudinal analysis, and automated discovery of trends, inconsistencies, and emerging narratives. This paper formalizes the architectural principles, data flow, and operational characteristics of autonomous editorial systems and demonstrates how artificial intelligence can be integrated as a controlled, inspectable component rather than an opaque decision-maker. The proposed approach establishes a foundation for future research into machine-assisted journalism, automated investigation, and large-scale information synthesis.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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