AI Ethics: Integrating Transparency, Fairness, and Privacy in AI Development

The expansion of Artificial Intelligence in sectors such as healthcare, finance, and communication has raised critical ethical concerns surrounding transparency, fairness, and privacy. Addressing these issues is essential for the responsible development and deployment of AI systems. This research establishes a comprehensive ethical framework that mitigates biases and promotes accountability in AI technologies. A comparative analysis of international AI policy frameworks from regions including the European Union, United States, and China is conducted using analytical tools such as Venn diagrams and Cartesian graphs. These tools allow for a visual and systematic evaluation of the ethical principles guiding AI development across different jurisdictions. The results reveal significant variations in how global regions prioritize transparency, fairness, and privacy, with challenges in creating a unified ethical standard. To address these challenges, we propose technical strategies, including fairness-aware algorithms, routine audits, and the establishment of diverse development teams to ensure ethical AI practices. This paper provides actionable recommendations for integrating ethical oversight into the AI lifecycle, advocating for the creation of AI systems that are both technically sophisticated and aligned with societal values. The findings underscore the necessity of global collaboration in fostering ethical AI development.

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Publication Details

Journal
Applied Artificial Intelligence
Published
2025-02-07
DOI
https://doi.org/10.1080/08839514.2025.2463722
Citations
125
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
293.34

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article

AI Ethics: Integrating Transparency, Fairness, and Privacy in AI Development

Petar Radanliev
125 citations
Applied Artificial Intelligence
Ethics and Social Impacts of AI
293.34
article

AI Ethics: Integrating Transparency, Fairness, and Privacy in AI Development

Petar Radanliev
article en
125 citations

Abstract

The expansion of Artificial Intelligence in sectors such as healthcare, finance, and communication has raised critical ethical concerns surrounding transparency, fairness, and privacy. Addressing these issues is essential for the responsible development and deployment of AI systems. This research establishes a comprehensive ethical framework that mitigates biases and promotes accountability in AI technologies. A comparative analysis of international AI policy frameworks from regions including the European Union, United States, and China is conducted using analytical tools such as Venn diagrams and Cartesian graphs. These tools allow for a visual and systematic evaluation of the ethical principles guiding AI development across different jurisdictions. The results reveal significant variations in how global regions prioritize transparency, fairness, and privacy, with challenges in creating a unified ethical standard. To address these challenges, we propose technical strategies, including fairness-aware algorithms, routine audits, and the establishment of diverse development teams to ensure ethical AI practices. This paper provides actionable recommendations for integrating ethical oversight into the AI lifecycle, advocating for the creation of AI systems that are both technically sophisticated and aligned with societal values. The findings underscore the necessity of global collaboration in fostering ethical AI development.

Applied Artificial IntelligenceVol. 39(1)
University of Oxford (GB)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 0%
Ethics and Social Impacts of AI
293.34
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AI Ethics: Integrating Transparency, Fairness, and Privacy in AI Development — Petar Radanliev · Applied Artificial Intelligence (2025) | TGRS Research Map | TGRS