以数据为中心和以模型为中心的人工智能技术分析

IF 2.2 4区计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS

IT Professional Pub Date : 2024-01-22 DOI:10.1109/mitp.2023.3322410

Abdul Majeed, Seong Oun Hwang

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引用次数: 0

摘要

人工智能（AI）领域正在经历一场巨大的革命，为研究和实际应用开辟了新天地，但随着时间的推移，人工智能领域的一些研究轨迹正变得有害无益。最近，人工智能界有一种名为 "以模型为中心的人工智能（MC-AI）"的主流研究趋势，这种趋势只会摆弄复杂的人工智能代码/算法。由于数据有限或质量不佳，MC-AI 在应用于预测性维护等现实问题时可能无法取得理想的结果。相比之下，一种名为以数据为中心（DC-AI）的相对较新的范式在人工智能界越来越流行。本文将从基本概念、工作机制和技术差异等方面对 MC-AI 和 DC-AI 进行讨论和比较。然后，我们强调了 DC-AI 方法的潜在优势，以促进对这一最新范式的进一步研究。这项关于 DC-AI 和 MC-AI 的开创性工作可以为从更广阔的视角理解这两种范式的基本原理和意义铺平道路。

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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Technical Analysis of Data-Centric and Model-Centric Artificial Intelligence

The artificial intelligence (AI) field is going through a dramatic revolution in terms of new horizons for research and real-world applications, but some research trajectories in AI are becoming detrimental over time. Recently, there has been a growing call in the AI community to combat a dominant research trend named model-centric AI (MC-AI), which only fiddles with complex AI codes/algorithms. MC-AI may not yield desirable results when applied to real-life problems like predictive maintenance due to limited or poor-quality data. In contrast, a relatively new paradigm named data-centric (DC-AI) is becoming more popular in the AI community. In this article, we discuss and compare MC-AI and DC-AI in terms of basic concepts, working mechanisms, and technical differences. Then, we highlight the potential benefits of the DC-AI approach to foster further research on this recent paradigm. This pioneering work on DC-AI and MC-AI can pave the way to understand the fundamentals and significance of these two paradigms from a broader perspective.

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来源期刊

IT Professional COMPUTER SCIENCE, INFORMATION SYSTEMS-COMPUTER SCIENCE, SOFTWARE ENGINEERING

CiteScore

5.00

自引率

0.00%

发文量

111

审稿时长

>12 weeks

期刊介绍： IT Professional is a technical magazine of the IEEE Computer Society. It publishes peer-reviewed articles, columns and departments written for and by IT practitioners and researchers covering: practical aspects of emerging and leading-edge digital technologies, original ideas and guidance for IT applications, and novel IT solutions for the enterprise. IT Professional’s goal is to inform the broad spectrum of IT executives, IT project managers, IT researchers, and IT application developers from industry, government, and academia.