Artificial intelligence and radical uncertainty

Weiser, Ann‐Kristin; von Krogh, Georg

doi:10.1111/emre.12630

Cited by 4 publications

(1 citation statement)

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“…Hooker et al start from an extensive dataset to disentangle the drivers of synchrony -and asynchrony-between two species, showing that trophic interactions and Coincidence or not, we live in times that are perceived by an increasing number of people as uncertain. Incoming challenges are numerous and their complexity hard to fully grasp: the advances of artificial intelligence (Weiser and Von Krogh, 2023), global security challenges (Booth and Wheeler, 2023), pandemics (Batty, 2020), the impending climate breakdown (Barnett, 2023), the absence of clearcut political projects and effective policies (Turk, 2022), the looming prospect of a biodiversity collapse (Maechler and Graz, 2022), economic volatility (Ahir et al, 2022), etc.…”

Section: Or Infuse New Paradigms (Dobson Et Al)mentioning

confidence: 99%

Editorial: Models in population, community and ecosystem dynamics

Cherif,

Kolasa,

Wang

2024

Front. Ecol. Evol.

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Section: Or Infuse New Paradigms (Dobson Et Al)mentioning

confidence: 99%

Editorial: Models in population, community and ecosystem dynamics

Cherif,

Kolasa,

Wang

2024

Front. Ecol. Evol.

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The coevolution of technology, markets, and culture: the challenging case of AI

Muñoz

2024

Rev Evol Polit Econ

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Artificial intelligence (AI) is at the center of economic, social, political, and ethical debate. For the first time in human history, since the appearance of writing, a new type of “intelligence” is impacting the very nature of social relationships. New technologies are not only changing the operating model of markets and value chains in an accelerated way but also in how information is generated and processed, how labor, social relations, and culture evolve, etc. In this paper, we pursue two main goals. First, to set up an analytical framework in which cognitive, technical, and cultural dynamics are intertwined with the processes of deployment of economic action. Secondly, we utilize this framework to explore some key features and challenges of AI and its impact on coevolutionary processes at the cognitive, market, and cultural levels. We devote special attention to the consequences that AI may have for the concept of (economic) rationality and the formation of action plans. We conclude that AI will massively enhance agents’ spaces of action by improving efficiency and exploring new possibilities. However, AI will not change the nature of human action and the structure of the evolution of the economic system.

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Artificial intelligence capability and organizational performance: unraveling the mediating mechanisms of decision-making processes

Neiroukh,

Emeagwali,

Aljuhmani

2024

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PurposeThis study investigates the profound impact of artificial intelligence (AI) capabilities on decision-making processes and organizational performance, addressing a crucial gap in the literature by exploring the mediating role of decision-making speed and quality.Design/methodology/approachDrawing upon resource-based theory and prior research, this study constructs a comprehensive model and hypotheses to illuminate the influence of AI capabilities within organizations on decision-making speed, decision quality, and, ultimately, organizational performance. A dataset comprising 230 responses from diverse organizations forms the basis of the analysis, with the study employing a partial least squares structural equation model (PLS-SEM) for robust data examination.FindingsThe results demonstrate the pivotal role of AI capabilities in shaping organizational decision-making processes and performance. AI capability significantly and positively affects decision-making speed, decision quality, and overall organizational performance. Notably, decision-making speed is a critical factor contributing significantly to enhanced organizational performance. The study further uncovered partial mediation effects, suggesting that decision-making processes partially mediate the relationship between AI capabilities and organizational performance through decision-making speed.Originality/valueThis study contributes to the existing body of literature by providing empirical evidence of the multifaceted impact of AI capabilities on organizational decision-making and performance. Elucidating the mediating role of decision-making processes advances our understanding of the complex mechanisms through which AI capabilities drive organizational success.

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Artificial intelligence and radical uncertainty

Cited by 4 publications

References 47 publications

Editorial: Models in population, community and ecosystem dynamics

Editorial: Models in population, community and ecosystem dynamics

The coevolution of technology, markets, and culture: the challenging case of AI

Artificial intelligence capability and organizational performance: unraveling the mediating mechanisms of decision-making processes

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