arrow
返回

AI Failures-Part II

delete2025-11-01
delete0
PRE
AI
M
M S Raunak *
D
D. Richard Kuhn
DOI:10.1109/MC.2025.3606142delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
Failures in AI and machine learning are fundamentally different from most conventional systems. This issue reviews AI failures and their causes, system-level trust, and emerging standards that seek to ensure safety and security in AI/ML.

期刊

Computer 封面图
Computer
IF:
2.3
论文数:
207
被引数:
7.5K

机构

N
national institute of standards & technology (nist) - usa
学者数:
9.7K
论文数: 9.0K
被引数: 4
引用论文

引用论文

暂无论文信息