How a 30-Year-Old Concept Will Solve AI Revenue/Disinformation Issues

<p>Article suggests using the NationaI Internet Infrastructure (NII) model to implement Industry-Specific AI GPTs to make AI more effective and profitable.  The document further describes using the Industry-Specific AI GPTs as AI Referece Models to allow AI to do Disinformation Identification and exclusion techniques.</p>

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-01
DOI
https://doi.org/10.5281/zenodo.14498171
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

How a 30-Year-Old Concept Will Solve AI Revenue/Disinformation Issues

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

How a 30-Year-Old Concept Will Solve AI Revenue/Disinformation Issues

article en

Abstract

<p>Article suggests using the NationaI Internet Infrastructure (NII) model to implement Industry-Specific AI GPTs to make AI more effective and profitable.  The document further describes using the Industry-Specific AI GPTs as AI Referece Models to allow AI to do Disinformation Identification and exclusion techniques.</p>

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 46%
Ethics and Social Impacts of AI
DOIOpen Access PDFOpenAlex
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How a 30-Year-Old Concept Will Solve AI Revenue/Disinformation Issues · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS