Black-box creativity and generative artifical intelligence

Q2 Economics, Econometrics and Finance

Business Information Review Pub Date : 2023-08-05 DOI:10.1177/02663821231195131

Luke Tredinnick, Claire Laybats

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Abstract

The rapid rise of generative artificial intelligence applications poses a number of significant challenges for the ways in which we organise our social, cultural and working lives. As we have explored in Business Information Review over recent years, new technologies promise to transform existing workplace routines, encroaching on professional roles just as it has already encroached on routine occupations (Kirkwood, 2018; Richardson, 2020; Tredinnick, 2017). Artificial Intelligence (AI) poses new problems in the evaluation of information and news, and in understanding the role of disinformation in social discourse (Tredinnick and Laybats, 2023). Artifical Intelligence facilitates new forms of cybercrime (Tredinnick and Laybats, 2023) and poses new ethical dilemmas about the use of technology (Carter, 2018; 2020). But while we have tended to focus on the ways in which technology may transform the contexts within which we live and work, generative artificial intelligence has also been silently rewiring how we conceptualise the human voice, agency, and creativity. This more subtle challenge is in many ways of greater profundity. Creativity has been widely understood as a distinctly human characteristic (Carruthers, 2012); other species can be said to engage in creative behaviour but none of this behaviour approaches the complexity and productivity of human creativity (Gabora and Kaufman, 2010). Yet as we move into an era where creative acts fall ever more comfortably within the province of generative AI, the ways in which we think about creativity and its relationship to the human mind is bound to shift. It is a truism that emergent technologies are generally met with a mixture of enthusiasm about their transformative potential, and apprehension about their negative social effects. The expansion of printing and literacy in the 18th century and steam press of the 19th were met by widespread misgivings about the impact of popular literature on the morals and behaviour of a newly literate mass public. Brantlinger for example has written that for many lateVictorian intellectuals:

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黑箱创造力和生成式人工智能

生成人工智能应用的迅速兴起给我们组织社会、文化和工作生活的方式带来了许多重大挑战。正如我们近年来在《商业信息评论》中所探讨的那样，新技术有望改变现有的工作场所惯例，侵占职业角色，就像它已经侵占了常规职业一样（Kirkwood，2018；Richardson，2020；Tredinick，2017）。人工智能在评估信息和新闻以及理解虚假信息在社会话语中的作用方面提出了新的问题（Tredinick和Laybats，2023）。人工智能促进了新形式的网络犯罪（Tredinnick和Laybats，2023），并在技术使用方面带来了新的道德困境（Carter，2018；2020）。但是，尽管我们倾向于关注技术可能改变我们生活和工作环境的方式，但生成性人工智能也在默默地重新构建我们对人类声音、能动性和创造力的概念。这个更微妙的挑战在许多方面都更深刻。创造力被广泛理解为一种明显的人类特征（Carruthers，2012）；其他物种可以说从事创造性行为，但这些行为都没有达到人类创造力的复杂性和生产力（Gabora和Kaufman，2010）。然而，随着我们进入一个创造性行为越来越容易落入生成性人工智能范畴的时代，我们思考创造力及其与人类思维关系的方式必然会发生变化。众所周知，新兴技术通常既有对其变革潜力的热情，也有对其负面社会影响的担忧。18世纪印刷业和识字率的扩张以及19世纪蒸汽印刷业的扩张，都引发了人们对流行文学对新识字大众道德和行为的影响的广泛担忧。例如，Brantlinger为许多维多利亚晚期的知识分子写道：

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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来源期刊

Business Information Review Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)

CiteScore

2.50

自引率

0.00%

发文量

期刊介绍： Business Information Review (BIR) is concerned with information and knowledge management within organisations. To be successful organisations need to gain maximum value from exploiting relevant information and knowledge. BIR deals with information strategies and operational good practice across the range of activities required to deliver this information dividend. The journal aims to highlight developments in the economic, social and technological landscapes that will impact the way organisations operate. BIR also provides insights into the factors that contribute to individual professional success.