Vulnerability Disclosure in AI: Coordinated Disclosure Norms and Responsible Reporting Practices

Олег Ивченко; Iryna Ivchenko

doi:10.5281/zenodo.21998500

August 18, 2026Open Access

Vulnerability Disclosure in AI: Coordinated Disclosure Norms and Responsible Reporting Practices

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Key Points

Examine coordinated vulnerability disclosure norms and establish responsible reporting practices tailored to artificial intelligence systems.
Analyzed traditional cybersecurity vulnerability disclosure frameworks to assess their applicability to AI architectures.
Evaluated coordination protocols between security researchers, developers, and deployment platforms for addressing model vulnerabilities.
Identifies critical operational gaps in adapting standard software vulnerability reporting to machine learning model flaws.
Outlines structured timelines and responsible disclosure practices to mitigate AI safety risks prior to public dissemination.

Implication

Policy analysis demonstrates frameworks for coordinated vulnerability disclosure in artificial intelligence systems, highlighting standardized norms for responsible risk mitigation.

Abstract

Research article: Vulnerability Disclosure in AI: Coordinated Disclosure Norms and Responsible Reporting Practices

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Cite This Study

Ивченко et al. (2026) studied this question.

synapsesocial.com/papers/6a86b5b08a91293e6a1cd321 https://doi.org/10.5281/zenodo.21998500

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Vulnerability Disclosure in AI: Coordinated Disclosure Norms and Responsible Reporting Practices

Key Points

Implication

Abstract

Discussion

Cite This Study

Vulnerability Disclosure in AI: Coordinated Disclosure Norms and Responsible Reporting Practices

Key Points

Implication

Abstract

Discussion

Cite This Study

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