A unified ontological and explainable framework for decoding AI risks from news data

A unified ontological and explainable framework for decoding AI risks from news data

Abstract Artificial intelligence (AI) is rapidly permeating various aspects of human life, raising growing concerns about its associated risks. However, existing research on AI risks often remains fragmented—either limited to specific domains or focused solely on ethical guideline development—lackin...

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Bibliographic Details
Main Authors: Chuan Chen, Peng Luo, Huilin Zhao, Mengyi Wei, Puzhen Zhang, Zihan Liu, Liqiu Meng
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
AI ethics
AI risk
Ontological model
News data
Explainable machine learning
Online Access:https://doi.org/10.1038/s41598-025-10675-x
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