The Half-Built Mind: Why AI Can't Evolve Without Conscious Contributors

The Half Built Mind is an original whitepaper by Satish Chaitanya that highlights a fundamental gap in today’s artificial intelligence development. It argues that AI is being built mainly by rational, technical minds, while ignoring contributions from individuals who understand the inner dimensions of human experience, such as fear, ego, suffering, and transformation. This paper presents the view that without meaningful input from conscious, introspective individuals, AI systems will remain incomplete. The work explores both the technical top-down design and the emotional, spiritual bottom-up insight that together form a complete human intelligence model. It proposes practical solutions like involving lived-experience contributors, preserving reflective user dialogues, and shaping foundational AI layers around universal human questions, not just data and metrics. The paper is written from direct experiential insight and stands as a call to include diverse forms of intelligence in shaping AI that is ethical, balanced, and truly human aware.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-15
DOI
https://doi.org/10.5281/zenodo.15924402
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

The Half-Built Mind: Why AI Can't Evolve Without Conscious Contributors

Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

The Half-Built Mind: Why AI Can't Evolve Without Conscious Contributors

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Abstract

The Half Built Mind is an original whitepaper by Satish Chaitanya that highlights a fundamental gap in today’s artificial intelligence development. It argues that AI is being built mainly by rational, technical minds, while ignoring contributions from individuals who understand the inner dimensions of human experience, such as fear, ego, suffering, and transformation. This paper presents the view that without meaningful input from conscious, introspective individuals, AI systems will remain incomplete. The work explores both the technical top-down design and the emotional, spiritual bottom-up insight that together form a complete human intelligence model. It proposes practical solutions like involving lived-experience contributors, preserving reflective user dialogues, and shaping foundational AI layers around universal human questions, not just data and metrics. The paper is written from direct experiential insight and stands as a call to include diverse forms of intelligence in shaping AI that is ethical, balanced, and truly human aware.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 50%
Ethics and Social Impacts of AI
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