2019
DOI: 10.1108/srj-09-2018-0219
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Corporate social irresponsibility: humans vs artificial intelligence

Abstract: Purpose The supposedly radical development of artificial intelligence (AI) has raised questions regarding the moral responsibility of it. In the sphere of business, they are translated into questions about AI and business ethics (BE) and corporate social responsibility (CSR). The purpos of this study is to conceptually reformulate these questions from the point of view of two possible aspect-changes, namely, starting from corporate social irresponsibility (CSI) and starting not from AIs incapability for respon… Show more

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Cited by 20 publications
(12 citation statements)
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“…In addition, this paper also suggests that scientists will not always transfer novel sustainability initiatives into reality; rather, they show resistance due to the discomfort that occurs with sudden shifts in the organisational field (Mihelcic et al , 2003). Moreover, our findings suggest that given sufficient investment and support in material and time, alongside sufficient organisational support to engage with other professionals and external scientists, R&D scientists and engineers can engage in sustainable organisational practices (Lai Cheng and Ahmad, 2010; Krkač, 2019).…”
Section: Discussionmentioning
confidence: 84%
See 1 more Smart Citation
“…In addition, this paper also suggests that scientists will not always transfer novel sustainability initiatives into reality; rather, they show resistance due to the discomfort that occurs with sudden shifts in the organisational field (Mihelcic et al , 2003). Moreover, our findings suggest that given sufficient investment and support in material and time, alongside sufficient organisational support to engage with other professionals and external scientists, R&D scientists and engineers can engage in sustainable organisational practices (Lai Cheng and Ahmad, 2010; Krkač, 2019).…”
Section: Discussionmentioning
confidence: 84%
“…For instance, as the obstacles above occurred in a supportive organisational setting with contained sustainability and eco-competitiveness outline, there is evidence to propose that similar problems might also arise in less supportive circumstances. In detail, if management and scientists embrace a similar “discourse” and same mindset in this relatively benign organisational field, such mutual viewpoints appear commensurately less likely in more conflictual contexts (Mihelcic et al , 2003; Seifi et al , 2012; Krkač, 2019). This strengthens the necessity of promoting intra-professional discussion that facilitates scientists to understand others’ mindsets and habitus.…”
Section: Discussionmentioning
confidence: 99%
“…In course of functioning or works, humans face the issue of judgement if that is cogent to be done or if that is not ethical to be done, etc. However, in the case of AI, this matter comes up from the dilemma to empower AI technology for adopting decisions that might be subjective, contextual and moral in nature (Krkac, 2019).…”
Section: Impact Of Artificial Intelligence On Society and Businessmentioning
confidence: 99%
“…NPL technology is a special procedure with the help of ML. It supplements computers for interpreting, understanding and even manipulating human language (Krkač, 2019). This process includes splitting the languages into short pieces and this process takes an attempt to quest how these short pieces can be arranged to create meaning (Lobova et al , 2020).…”
Section: Artificial Intelligence-related Technologiesmentioning
confidence: 99%