Artificial Human Intelligence: The role of Humans in the Development of Next Generation AI
Suayb S. Arslan

TL;DR
This paper explores the evolving relationship between human and artificial intelligence, emphasizing the crucial role humans play in developing ethical, responsible, and scalable next-generation AI systems inspired by biological principles.
Contribution
It introduces a novel taxonomy for analyzing human-AI interplay and discusses future directions emphasizing human-centered, symbiotic AI development inspired by neuroscience.
Findings
DeepSeek exemplifies biologically inspired AI addressing computational bottlenecks
Human-AI interaction influences system development and ethical considerations
Proposes a future human-centered, symbiotic approach to AI evolution
Abstract
Human intelligence, the most evident and accessible form of source of reasoning, hosted by biological hardware, has evolved and been refined over thousands of years, positioning itself today to create new artificial forms and preparing to self--design their evolutionary path forward. Beginning with the advent of foundation models, the rate at which human and artificial intelligence interact with each other has exceeded any anticipated quantitative figures. The close engagement led both bits of intelligence to be impacted in various ways, which naturally resulted in complex confluences that warrant close scrutiny. Recent advances, such as DeepSeek, exemplify this interplay: the novel contributions, we argue, draw indirect inspiration from biological principles like modular neural specialization and sparse episodic encoding, addressing computational bottlenecks while aligning with…
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Taxonomy
TopicsEconomic and Technological Developments in Russia
