Navigating human-AI dynamics: implications for organizational performance (SLR)

What is it about?

This article aims to explore the relationship between artificial intelligence and organizational effectiveness by conducting a systematic review. The study focuses on how human-AI connections affect the acceptability of AI technology in corporate contexts. A comprehensive analysis of 30 papers is performed using the PRISMA method based on data from Web of Science (WoS), Scopus, Emerald, and Google Scholar. The research reveals a strong link between AI transparency and the maintenance of biases in human-AI interactions. Furthermore, it emphasizes three major elements of trust: ability, integrity, and compassion, emphasizing the complicated nature of trust-building in the context of AI as opposed to traditional technologies. The findings highlight the need to foster an environment that encourages AI adoption within organizations while also addressing employee concerns. Strategies for increasing transparency in AI systems are critical for realizing the full potential of these technologies to improve corporate success. The study adds to the current literature by shedding light on the intricate relationships between AI and organizational performance, as well as providing insights into the processes that underpin trust-building in AI technology.

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