The ethical implications of cloud automation: Balancing efficiency with accountability
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
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2025
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| _version_ | 1866901493774286848 |
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| author | Kolli, Bhanu Prakash |
| author_facet | Kolli, Bhanu Prakash |
| contents | <p>This article delves into the ethical dimensions of cloud automation and AI-driven infrastructure management as organizations increasingly rely on these technologies to enhance operational efficiency. While cloud automation offers significant benefits in deployment speed, resource optimization, and cost reduction, it also introduces complex ethical challenges that require careful consideration. The article examines key ethical concerns, including accountability for automated system failures, transparency limitations in self-healing infrastructures, and algorithmic bias in resource allocation. Through analysis of industry examples and best practices, the article presents a comprehensive framework for integrating ethical principles into cloud automation strategies from the outset. The proposed "ethics by design" approach emphasizes clear governance structures, explainable systems, and continuous bias monitoring. A detailed case study of Capital One's cloud automation journey illustrates how organizations can successfully balance technological advancement with ethical responsibility. The article argues that treating ethics as a fundamental design parameter rather than a regulatory afterthought enables organizations to harness automation's full potential while building trust with stakeholders and meeting compliance requirements. </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17240376 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | The ethical implications of cloud automation: Balancing efficiency with accountability Kolli, Bhanu Prakash Cloud automation ethics Accountability in AI systems Algorithmic bias Self-healing infrastructure transparency Ethics-by-design approaches <p>This article delves into the ethical dimensions of cloud automation and AI-driven infrastructure management as organizations increasingly rely on these technologies to enhance operational efficiency. While cloud automation offers significant benefits in deployment speed, resource optimization, and cost reduction, it also introduces complex ethical challenges that require careful consideration. The article examines key ethical concerns, including accountability for automated system failures, transparency limitations in self-healing infrastructures, and algorithmic bias in resource allocation. Through analysis of industry examples and best practices, the article presents a comprehensive framework for integrating ethical principles into cloud automation strategies from the outset. The proposed "ethics by design" approach emphasizes clear governance structures, explainable systems, and continuous bias monitoring. A detailed case study of Capital One's cloud automation journey illustrates how organizations can successfully balance technological advancement with ethical responsibility. The article argues that treating ethics as a fundamental design parameter rather than a regulatory afterthought enables organizations to harness automation's full potential while building trust with stakeholders and meeting compliance requirements. </p> |
| title | The ethical implications of cloud automation: Balancing efficiency with accountability |
| topic | Cloud automation ethics Accountability in AI systems Algorithmic bias Self-healing infrastructure transparency Ethics-by-design approaches |
| url | https://doi.org/10.5281/zenodo.17240376 |