Towards Enabling Trusted Artificial Intelligence Via Blockchain

POLICY-BASED AUTONOMIC DATA GOVERNANCE (PADG 2018)(2018)

引用 33|浏览103
暂无评分
摘要
Machine Learning and Artificial Intelligence models are created, trained and used by different entities. The entity that curates data used for the model is frequently different from the entity that trains the model, which is different yet again from the end user of the trained model. The end user needs to trust the received AI model, and this requires having the provenance information about how the model was trained, and the data the model was trained on. This chapter describes how blockchain can be used to track the provenance of training models, leading to better trusted Artificial Intelligence.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要