预期范式

IF 2.5 4区计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Ai Magazine Pub Date : 2023-06-29 DOI:10.1002/aaai.12098

Adam Amos-Binks, Dustin Dannenhauer, Leilani H. Gilpin

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引用次数: 1

摘要

在部署人工智能系统的安全和任务关键领域，预期思维对于管理风险是必要的。我们分析了预期思维、优化范式和元预见的交叉点，以提高我们对人工智能系统及其在遇到低可能性/高影响风险时的适应能力的理解。我们将这种交集描述为预期范式。我们在具体的例子中详细描述了这些挑战，并提出了新类型的预期思维，以实现人工智能系统评估的范式转变。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The anticipatory paradigm

Anticipatory thinking is necessary for managing risk in the safety- and mission-critical domains where AI systems are being deployed. We analyze the intersection of anticipatory thinking, the optimization paradigm, and metaforesight to advance our understanding of AI systems and their adaptive capabilities when encountering low-likelihood/high-impact risks. We describe this intersection as the anticipatory paradigm. We detail these challenges in concrete examples and propose new types of anticipatory thinking, towards a paradigm shift in how AI systems are evaluated.

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来源期刊

Ai Magazine 工程技术-计算机：人工智能

CiteScore

3.90

自引率

11.10%

发文量

审稿时长

>12 weeks

期刊介绍： AI Magazine publishes original articles that are reasonably self-contained and aimed at a broad spectrum of the AI community. Technical content should be kept to a minimum. In general, the magazine does not publish articles that have been published elsewhere in whole or in part. The magazine welcomes the contribution of articles on the theory and practice of AI as well as general survey articles, tutorial articles on timely topics, conference or symposia or workshop reports, and timely columns on topics of interest to AI scientists.

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