Ethical Considerations in Artificial Intelligence: Fairness, Transparency, and Responsible Governance
Author: Dr. Anna Neya Kazanskaia
Publisher: NEYA Global Publishing
Article | NEYA Global Journal of Non-Profit Studies
Year: 2025
ORCID: https://orcid.org/0009-0009-5669-1676
DOI: https://doi.org/10.64357/neya-gjnps-ai-mch-lr-07
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About the Article
The rapid expansion of artificial intelligence (AI) raises critical ethical challenges around fairness, transparency, privacy, and regulatory compliance. This article examines how biased data, opaque models, and inadequate protections threaten both trust and equity. It reviews strategies such as fairness audits, explainability frameworks (LIME, SHAP), inclusive design, and robust security protocols. Legal frameworks including GDPR, CCPA, HIPAA, and the proposed EU AI Act are analyzed for their implications on responsible AI governance. Real-world cases from healthcare, finance, social media, and e-commerce demonstrate both risks and best practices. The analysis underscores that ethical AI is not optional but a core requirement for sustainable adoption. By embedding fairness, accountability, and compliance into system design, organizations can ensure AI remains a force for equitable and socially responsible innovation.
Key Topics
- Algorithmic bias and fairness in AI
- Transparency and explainability techniques
- Data privacy and security safeguards
- Regulatory compliance (GDPR, CCPA, AI Act)
- Case studies in healthcare, finance, and social media
- Responsible AI governance and best practices
Suggested Citation
Kazanskaia, A. N. (2025). Ethical Considerations in Artificial Intelligence: Fairness, Transparency, and Responsible Governance. NEYA Global Journal of Non-Profit Studies. Neya Global Publishing. https://doi.org/10.64357/neya-gjnps-ai-mch-lr-07
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