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VOL. 13, ISSUE 1 (2026)
From algorithms and autonomy: The progress of Artificial Intelligence
Authors
Aradhana Paul, Shivani Tayal
Abstract
This paper explores the progression of artificial
intelligence, beginning from its origins in logic-based algorithms and moving
towards the development of independent, self-learning systems. Key milestones
are reviewed, with special attention given to technologies like deep learning
and neural networks that support autonomous decision-making in contemporary AI.
Examples from healthcare, transportation, and industry illustrate how these
advancements have transformed real-world applications. The paper also discusses
pressing issues such as ethical responsibility and safe deployment of AI, along
with the social effects of increasing machine independence. The goal is to
present an accessible overview of how modern autonomy in AI emerged from
foundational algorithmic innovations, and what future advances may entail.
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Pages:309-313
How to cite this article:
Aradhana Paul, Shivani Tayal "From algorithms and autonomy: The progress of Artificial Intelligence". International Journal of Multidisciplinary Research and Development, Vol 13, Issue 1, 2026, Pages 309-313
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