人工智能下大数据集成的难点综述

Q4 Engineering
Dr. Thippanna G., D. Albert, Ramachandra E.
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引用次数: 0

摘要

在这篇综述中,文章探讨了来自大数据的大量数据有望彻底改变人工智能(AI)。下一代大数据智能的理念是为人工智能平台提供动力的关键组成部分,有助于释放其巨大而未开发的大规模生产和定向消费潜力,这将对我们的社会产生重大影响。在提供大数据智能时,这种改变游戏规则的技术必须做到开放、公正、信任和减少偏见。可悲的是,当前的大数据技术偏离了这一方向,人工智能平台通常在管理和控制它们的集中专有组织内运行,暴露了人工智能算法和数据库的关键问题,以及歧视性社会做法的阴险和普遍强化。当利用未处理、有噪声或无意中有偏见的数据来训练人工智能模型时,这尤其麻烦。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A REVIEW ON BIG DATA INTEGRATION's DIFFICULTIES WITH AI
In this review article explored massive amounts of data from big data are expected to revolutionize artificial intelligence (AI). The idea of Next-Gen Big Data Intelligence is the key component that powers AI platforms and helps to release its enormous and untapped potential for mass production and targeted consumption, which will have a significant impact on our society. When offering Big Data Intelligence, such game-changing technology must do so with openness, justice, trust, and reduced prejudice. Sadly, the current Big Data technologies veer off this course, where AI platforms typically operate within centralized proprietary organizations that manage, and control them, exposing critical issues of AI algorithmic and data bases, along with insidious and pervasive reinforcement of discriminatory societal practices. When utilizing unprocessed, noisy, or unintentionally biased data to train AI models, this is particularly troublesome.
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来源期刊
Indian Journal of Computer Science and Engineering
Indian Journal of Computer Science and Engineering Engineering-Engineering (miscellaneous)
自引率
0.00%
发文量
146
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