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The Illusion of Boundless AI: Analyzing Limitations and Ethical Concerns
  • M Mostagir Bhuiyan
M Mostagir Bhuiyan

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The narrative that emerges from the current development and training of the artificial intelligence models has a rhetoric of unlimited potential of AI in its current state. This paper argues against that very point and will be looking at the serious constraints currently facing models of AI and machine learning, particularly the finitude of the data on which they rely. Its not just that the results are limited by the data at hand, but also by a host of other constraints: diminishing returns in scaling up model size, imposing costs on training, and making models harder to run. These are increasingly observed when AI is clad upon complex, real-world tasks that involve genuine generalization and adaptability. The paper also critically examines the commercial motivations driving the focus on automating white-collar jobs, highlighting that such priorities often stem from immediate financial incentives rather than a comprehensive evaluation of AI's broader applications. These practices raise profound ethical issues, including concerns about transparency and the responsible deployment of AI technologies. By dispelling the myth of AI's unlimited potential, this paper advocates for a more grounded and ethical approach to AI development, stressing the urgent need for breakthrough technological advancements that move us closer to achieving artificial general intelligence (AGI).
25 May 2024Submitted to TechRxiv
03 Jun 2024Published in TechRxiv