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The Transformation Risk-Benefit Model of Artificial Intelligence: Balancing Risks and Benefits Through Practical Solutions and Use Cases

arXiv 2406.11863 ↗First posted 11 Apr 2024cs.CY cs.AIcited by 0

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Abstract (arXiv)

This paper summarizes the most cogent advantages and risks associated with Artificial Intelligence from an in-depth review of the literature. Then the authors synthesize the salient risk-related models currently being used in AI, technology and business-related scenarios. Next, in view of an updated context of AI along with theories and models reviewed and expanded constructs, the writers propose a new framework called "The Transformation Risk-Benefit Model of Artificial Intelligence" to address the increasing fears and levels of AI risk. Using the model characteristics, the article emphasizes practical and innovative solutions where benefits outweigh risks and three use cases in healthcare, climate change/environment and cyber security to illustrate unique interplay of principles, dimensions and processes of this powerful AI transformational model.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 6 of its 112 references that are in the map. First posted on arXiv 11 Apr 2024.

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References · 6

  1. 2019Tackling Climate Change with Machine Learningcited by 264
  2. 2019The role of artificial intelligence in achieving the Sustainable Development Goalscited by 100
  3. 2022Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learningcited by 47
  4. 2018POTs: Protective Optimization Technologiescited by 28
  5. 2020Development and Interpretation of a Neural Network-Based Synthetic Radar Reflectivity Estimator Using GOES-R Satellite Observationscited by 17
  6. 2019Algorithmic Extremism: Examining YouTube's Rabbit Hole of Radicalizationcited by 12

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