实现值得信赖的人工智能：减轻威胁的综合框架方法

IF 2 4区计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Computer Pub Date : 2024-08-30 DOI:10.1109/mc.2024.3400532

Kíng-Pîng Tēnn, Yu-Wei Chang, Hong-Yen Chen, Teng-Kai Fan, Tsungnan Lin

引用次数: 0

摘要

我们提出了战略性人工智能（AI）威胁导航矩阵，这是一种在整个人工智能生命周期内导航人工智能威胁和可信度的综合方法。它旨在帮助开发人员、数据科学家、监管人员和用户应对威胁，增强人工智能的可靠性，从而提高可信度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Toward Trustworthy Artificial Intelligence: An Integrated Framework Approach Mitigating Threats

We present the Strategic Artificial Intelligence (AI) Threats Navigation matrix, an integrated approach to navigating AI threats and trustworthiness throughout the AI lifecycle. It aims to assist developers, data scientists, regulators, and users in addressing threats and bolstering AI’s reliability, encouraging an improvement of trustworthiness.

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来源期刊

Computer 工程技术-计算机：软件工程

CiteScore

3.90

自引率

4.50%

发文量

378

审稿时长

12 months

期刊介绍： Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed articles written for and by computer researchers and practitioners representing the full spectrum of computing and information technology, from hardware to software and from emerging research to new applications. The aim is to provide more technical substance than trade magazines and more practical ideas than research journals. Computer seeks to deliver useful information for all computing professionals and students, including computer scientists, engineers, and practitioners of all levels.