AI Ethics: Integrating Transparency, Fairness, and Privacy in AI Development
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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…
Citation impact
154
total citations
- FWCI
- 271.73
- Percentile
- 100%
- References
- 25
Citations per year
Authors
1Topics & keywords
Topics
Keywords
- Computer science
- Transparency (behavior)
- Development (topology)
- Knowledge management
- Data science
- Computer security
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