Conceptio › Archive › PhilArchive
PhilArchive open access

Artificial Intelligence, the Universal Law of Balance, and Human Decision-Making: A Feedback-Based Resolution Beyond Authority and Governance

Malicse, Angelito
PhilArchive · Papers
Open Source ↗
philosophy
Abstract This paper presents artificial intelligence (AI) as a practical technological embodiment of the Universal Law of Balance in nature. It argues that AI transforms human decision-making not by replacing authority or free will, but by strengthening feedback mechanisms that reveal imbalance across individual, social, economic, and ecological systems. Even under dysfunctional government structures, AI enables decision-makers to observe consequences in advance, converting belief-driven choices into balance-aware decisions. By framing human cognition and societal organization as natural systems governed by feedback, this paper demonstrates that AI functions as an imbalance detector rather than a moral authority, thereby operationalizing the Universal Law of Balance without coercion or ideology.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 724319
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive