Pre-trained models (PM) have achieved promising results in content
generation. However, the space for human creativity and imagination is endless,
and it is still unclear whether the existing models can meet the needs.
Model-generated content faces uncontrollable responsibility and potential
unethical problems. This paper presents the MetaAID 2.0 framework, dedicated to
human-controllable PM information flow. Through the PM information flow, humans
can autonomously control their creativity. Through the Universal Resource
Identifier extension (URI-extension), the responsibility of the model outputs
can be controlled. Our framework includes modules for handling multimodal data
and supporting transformation and generation. The URI-extension consists of
URI, detailed description, and URI embeddings, and supports fuzzy retrieval of
model outputs. Based on this framework, we conduct experiments on PM
information flow and URI embeddings, and the results demonstrate the good
performance of our system.

该研究提出了 MetaAID 2.0 框架，通过 Pre-trained models（预训练模型）的信息流实现人类可控的创造性和输出负责任，并通过 URI-extension 控制模型输出的责任和潜在的不道德问题。该框架包括多模态数据处理和转换和生成的支持模块，并对信息流和 URI 嵌入进行了实验证明了系统的良好性能。