跨人工智能时期："管理数学如何帮助塑造人工智能的未来

IF 1.9 3区工程技术 Q3 MANAGEMENT

IMA Journal of Management Mathematics Pub Date : 2024-02-26 DOI:10.1093/imaman/dpae004

Nada R Sanders

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引用次数: 0

摘要

人工智能时代的到来，标志着一个变革时期的开始。人工智能技术所蕴含的用途、规范、标准和价值观正以令人目眩的速度不断演变，并处于不断变化之中。当前这个时期被称为 "人工智能间时期"，它为管理数学研究人员提供了一个塑造人工智能未来的机会。这个机会之窗将会很短暂，之后人工智能算法中蕴含的数学原理和决策过程将变得更加坚硬。此后，技术演进必将继续。但是，观点、规范、实践和战略将已经嵌入技术之中。研究人员现在就应该行动起来，塑造一个人工智能化的未来--一个既能利用人工智能的力量，又能保护用户和人类的未来。这篇特邀论文基于对数十位商界领袖和学者的访谈研究，旨在呼吁研究人员把握这个时期的严重性并立即行动起来。

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 “Inter-AI Period:” How Management Mathematics Can Help Shape An AI-Enabled Future

Launched in a post pandemic world primed for technological solutions, Gen AI marked the beginning of a transformational period. Uses, norms, standards, and values embedded in AI technology are evolving at a dizzying pace and are in flux. The current period—termed “the Inter-AI Period”—presents an opportunity for researchers in management mathematics to shape an AI-enabled future. This window of opportunity will be short, after which mathematical principles and decision processes embedded in AI algorithms will harden. Technological evolution will certainly continue thereafter. But the views, norms, practices, and strategies would have been embedded in the technology. It is up to researchers to act now to shape an AI-enabled future—one that harnesses the powers of AI but with guardrails to protect users and humanity. This invited essay is based on research involving interviews of dozens of business leaders and scholars and is intended as a call to action for researchers to grasp the gravity of this period and act now.

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来源期刊

IMA Journal of Management Mathematics OPERATIONS RESEARCH & MANAGEMENT SCIENCE-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

CiteScore

4.70

自引率

17.60%

发文量

审稿时长

>12 weeks

期刊介绍： The mission of this quarterly journal is to publish mathematical research of the highest quality, impact and relevance that can be directly utilised or have demonstrable potential to be employed by managers in profit, not-for-profit, third party and governmental/public organisations to improve their practices. Thus the research must be quantitative and of the highest quality if it is to be published in the journal. Furthermore, the outcome of the research must be ultimately useful for managers. The journal also publishes novel meta-analyses of the literature, reviews of the "state-of-the art" in a manner that provides new insight, and genuine applications of mathematics to real-world problems in the form of case studies. The journal welcomes papers dealing with topics in Operational Research and Management Science, Operations Management, Decision Sciences, Transportation Science, Marketing Science, Analytics, and Financial and Risk Modelling.