人工智能偏见:人工智能如何影响商业领袖的执行职能?

Muma Business Review Pub Date : 2019-07-27 DOI:10.28945/4380
Tamie Santiago
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引用次数: 5

摘要

到2020年,人工智能市场预计将增长470亿美元,国际大数据分析行业预计将增长2030亿美元。绝大多数的人工智能开发是由少数科技巨头(Twitter、IBM、亚马逊、Facebook、谷歌、微软、苹果……)进行的。全世界有超过70亿人,然而所有的代码都是由来自7个国家的区区1万人编写的。因此,人工智能算法的路径被认为受到了损害,因为它掌握在少数人手中。本研究的目的是系统地收集和审查证据,这些证据涉及人工智能,其固有的偏见,以及它对商业领袖的执行功能(大脑的指挥所)的影响。本文从混沌和复杂性理论的角度进行了回顾。数据和代码的融合已经为几乎无法识别的算法的进化埋下了种子,这些算法重写了自己的代码,创建了自己的规则和真理。这种现象迅速将人工智能算法从人类控制中分离出来。虽然人工智能算法仍然不受监管,没有争议,但领导者们被大数据淹没,毫无疑问,他们会突然放弃、拒绝或抑制自己对人工智能及其偏见的认知本能。这项研究支持这样一种观点,即使用人工智能的决策必须受到领导者健全的执行功能和集体判断的质疑,使用标准和法律,以减轻偏见,并确保人类领导者在决策中拥有最后的发言权。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI Bias: How Does AI Influence The Executive Function Of Business Leaders?
By 2020, the AI market is expected to grow by $47 billion, with the international big data analytics industry expected to grow by $203 billion. The vast majority of AI development is conducted by a modest number of techno-giants (Twitter, IBM, Amazon, Facebook, Google, Microsoft, Apple...). There are over 7 billion people worldwide, yet all of the code is being written by a mere 10,000 people in seven countries. Therefore, the pathway of AI algorithms is deemed compromised, by being in the hands of a few. The purpose of this study is to systematically gather and review evidence which addresses AI, its inherent biases, and its effect on the executive function, which is the brain's command post, of business leaders. The review is carried out through the chaos and complexity theory lens. The amalgamation of data and codes have seeded the evolution of barely discernible algorithms that rewrite their own code, creating their own rules, and their own truth. This phenomenon rapidly detaches AI algorithms from human control. While AI algorithms remain unregulated and uncontested, leaders are overwhelmed with big data and precipitously surrendering, rejecting or suppressing their own cognitive instincts regarding AI and its bias, without question. This study supports the notion that decision-making using AI must be interrogated by leaders' sound elevated executive functioning and collective judgment, using standards and laws, to mitigate bias and to ensure human leaders have the last say in decision-making.
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