Assessing Ghana's Cybersecurity Act 2020: AI Training and Medical Negligence Cases

This study delves into how Ghana’s Cybersecurity Act addresses training provisions and support for investigating cases of AI negligence, drawing from sections of the Act’s legal cases and academic literature. A legal assessment of Act 1038 concerning capacity building, protection of infrastructure liability gaps considering emerging AI threats and disputes related to negligence based on documented cases was carried out. The analysis reveals that Act 1038 does not explicitly mention risks associated with AI systems in capacity building or designating infrastructure. It suggests the need for measures such as tailored regulations and standardized reporting requirements alongside training to tackle issues related to liability and safety as the use of AI in healthcare expands. It is recommended that the scope of training programs and infrastructure under the Act be broadened to include education on vulnerabilities related to AI and mandate audits for specific healthcare AI applications. Furthermore, there is a call for developing sector regulations addressing negligence accountability. The novelty of this study lies in the analysis of a framework to improve Ghana’s cybersecurity legislation to better govern AI safety promotion in the context of increasing automation in medicine.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-04
DOI
https://doi.org/10.5281/zenodo.14964891
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Assessing Ghana's Cybersecurity Act 2020: AI Training and Medical Negligence Cases

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

Assessing Ghana's Cybersecurity Act 2020: AI Training and Medical Negligence Cases

article en

Abstract

This study delves into how Ghana’s Cybersecurity Act addresses training provisions and support for investigating cases of AI negligence, drawing from sections of the Act’s legal cases and academic literature. A legal assessment of Act 1038 concerning capacity building, protection of infrastructure liability gaps considering emerging AI threats and disputes related to negligence based on documented cases was carried out. The analysis reveals that Act 1038 does not explicitly mention risks associated with AI systems in capacity building or designating infrastructure. It suggests the need for measures such as tailored regulations and standardized reporting requirements alongside training to tackle issues related to liability and safety as the use of AI in healthcare expands. It is recommended that the scope of training programs and infrastructure under the Act be broadened to include education on vulnerabilities related to AI and mandate audits for specific healthcare AI applications. Furthermore, there is a call for developing sector regulations addressing negligence accountability. The novelty of this study lies in the analysis of a framework to improve Ghana’s cybersecurity legislation to better govern AI safety promotion in the context of increasing automation in medicine.

Zenodo (CERN European Organization for Nuclear Research)
South Ural State University (RU), Africa Center (US), Iraqi University (IQ)
Industry, innovation and infrastructure
Openalex Percentile: Top 57%
Artificial Intelligence in Healthcare and Education
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