Artificial Intelligence and Human Cognition: A Systematic Review of Thought Provocation through AI ChatGPT Prompts

Authors

DOI:

https://doi.org/10.70091/atras/AI.27

Keywords:

Artificial Intelligence, ChatGPT prompts, human cognition, learning processes, thought provocation

Abstract

This paper aims to provide a conceptual investigation over exploring the emergent processes and explanations formulated by a capacity to think, especially when extending reasoning abilities over an AI prompt, such as ChatGPT. These emergencies conceptualize special pathways, forcing human-like frameworks and processes of thought to be instanced, often covering personal qualifiers, in addition to motivations and other personal and emotional idiosyncrasies. Investigating and calling such processes thought whilst pulling for this instance human-like cognitive and behavioral articulation can provide us not only with an interesting standpoint counter to standard platonic maneuvers in cognitive science and AI but can also be utilised and reappraising to more useful and socio-culturally molar notions of optimization, embeddedness, intelligence, soft consciousness, and learning processes.

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Published

2024202420242024-0909-3030

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