Article One
De Cremer and Kasparov (2021) present an argument in their article that challenges the prevalent belief that AI technology will entirely replace human workers based on a flawed premise. The article’s foundation is cemented in its primary arguments, where the authors argue against the notion of a zero-sum game between humans and AI in the workforce, asserting that AI and humans possess distinct qualities and abilities. While AI excels in speed, accuracy, and consistent rationality, it lacks the intuitive, emotional, and culturally sensitive qualities that humans possess. Thus, the authors contend that human intelligence is authentic and AI is not attempting to replicate the intelligence; instead, such intelligence is complementary as it requires imagination, anticipation, adaptability, and creativity.
This article’s arguments are presented through philosophical and experiential analysis. De Cremer and Kasparov (2021) propose a collaborative approach where AI augments human intelligence, creating what they term “Augmented Intelligence” (AI3) to improve efficiency, accuracy, creativity, and proactivity within organizations. This proposition draws on historical examples for justification, for example, Garry Kasparov’s experience partnering with AI in chess. However, the article lacks a formal methodology or empirical research, which is a limitation. Nonetheless, this limitation is understandable considering the novel nature of AI use and its influence on the current workforce, and the lack of an empirical basis does not trivialize the authors’ perspective on the future of work.
The source’s credibility is evident because this article is published in the Harvard Business Review, a reputable source known for its rigorous editorial standards and contributions to business and technology discourse. In addition, the article includes data from PWC, a reputable auditing firm, regarding the future of AI, for example, asserting that AI will contribute to upwards of 1.5 trillion in the global economy by 2030 (De Cremer & Kasparov, 2021). However, the slight dilution of its credibility is the inadequate empirical evidence to support its claims.
Article Two
In this second article, Zirar et al. (2023) investigate how workers can coexist with AI in the workplace. The article’s primary precepts recognize that Workplace AI use has a significant role in enhancing operational efficiency, facilitating faster decision-making, and fostering innovation in products and services. In this regard, the study identifies four key themes that include workers’ distrust of AI as a job threat, the potential for AI to augment worker abilities, the skills required for effective worker-AI coexistence, and the necessity for continuous reskilling and upskilling to foster a symbiotic relationship between workers and workplace AI. Additionally, the article presents potential research propositions that can guide future investigations in this research area, for example, how up-skilling and reskilling will contribute to the AI-worker relationship in the future.
This article employs a stream-based systematic review to generate themes related to worker-AI coexistence. This methodology offers a systematic and protocol-based method for identifying data sources and the flexibility of thematic analysis to develop analytically driven themes in the broad topic of AI integration in the workplace. However, a significant limitation is that the article needs to provide more attention to potential biases, which may affect the generalizability of the findings in upcoming research; for example, how will socio-economic differences affect the integration of AI in different workplaces globally?
This article’s credibility is enhanced by using a systematic review methodology, as it reflects a well-defined approach to data collection and analysis. In addition, the thematic outline of concepts is a recognized approach in qualitative research. However, the credibility of research based on future research will be based on its ability to incorporate empirical research designs to back the thematic elements.
References
De Cremer, D., & Kasparov, G. (2021). AI should augment human intelligence, not replace it. Harvard Business Review, 18, 1. https://hbr.org/2021/03/ai-should-augment-human-intelligence-not-replace-it.
Zirar, A., Ali, S. I., & Islam, N. (2023). Worker and workplace Artificial Intelligence (AI) coexistence: Emerging themes and research agenda. Technovation, 124, 102747. https://doi.org/10.1016/j.technovation.2023.102747
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