The Path to Open Innovation: Peer-Review Under Fire (PRUF)

The field of Artificial Intelligence is advancing at an unprecedented pace, bringing both immense promise and significant challenges. While current models demonstrate remarkable capabilities, growing concerns around safety, alignment, transparency, and the inherent limitations of probabilistic systems highlight the urgent need for alternative approaches. the ThinkSpace PROJECT aims to address these challenges directly by developing and disseminating a fundamentally different kind of AI – one grounded in verifiable correctness and designed for safety from the outset. Supporting this research is crucial for navigating the future of AI responsibly.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-18
DOI
https://doi.org/10.5281/zenodo.15243695
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00
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article

The Path to Open Innovation: Peer-Review Under Fire (PRUF)

Zenodo (CERN European Organization for Nuclear Research)
Scientific Computing and Data Management
article

The Path to Open Innovation: Peer-Review Under Fire (PRUF)

article en

Abstract

The field of Artificial Intelligence is advancing at an unprecedented pace, bringing both immense promise and significant challenges. While current models demonstrate remarkable capabilities, growing concerns around safety, alignment, transparency, and the inherent limitations of probabilistic systems highlight the urgent need for alternative approaches. the ThinkSpace PROJECT aims to address these challenges directly by developing and disseminating a fundamentally different kind of AI – one grounded in verifiable correctness and designed for safety from the outset. Supporting this research is crucial for navigating the future of AI responsibly.

Zenodo (CERN European Organization for Nuclear Research)
Biokine (Israel) (IL), Neural Signals (United States) (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 39%
Scientific Computing and Data Management
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