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Artificial Intelligence: Framework of driving triggers to past, present and future applications and influencers of industry sector adoption

arXiv 2204.01518 ↗First posted 30 Mar 2022cs.CY cs.AIcited by 0

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Abstract (arXiv)

To gain a sense of the development of Artificial Intelligence (AI), this research analyzes what has been done in the past, presently in the last decade and what is predicted for the next several decades. The paper will highlight the biggest changes in AI and give examples of how these technologies are applied in several key industry sectors along with influencers that can affect adoption speed. Lastly, the research examines the driving triggers such as cost, speed, accuracy, diversity/inclusion and interdisciplinary research/collaboration that propel AI into an essential transformative technology.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 1 of its 99 references that are in the map. First posted on arXiv 30 Mar 2022.

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1 of 99 references.

References · 1

  1. 2019Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AIcited by 1,552

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