AI ethics and responsible ai development: Navigating the rapid evolution of artificial intelligence

Tripathi, Gautam (2025) AI ethics and responsible ai development: Navigating the rapid evolution of artificial intelligence. World Journal of Advanced Research and Reviews, 26 (3). pp. 145-152. ISSN 2581-9615

This article examines the rapid evolution of artificial intelligence and the ethical frameworks necessary for responsible development and deployment. As AI capabilities advance at unprecedented rates, often outpacing predictions and developing insights about individuals that exceed human perception, the ethical implications become increasingly significant. It explores six core dimensions of AI ethics: fairness and non-discrimination, transparency and explainability, privacy and security, human oversight, accountability, and reliability and safety. Each dimension is analyzed through the lens of current article and industry practices, revealing the multifaceted approaches required to address ethical challenges. Beyond these fundamentals, the article discusses the importance of regular impact assessments, continuous improvement of ethical frameworks, meaningful stakeholder engagement, and proactive regulatory compliance. By integrating these ethical considerations throughout the AI lifecycle, organizations can develop systems that not only advance technological capabilities but also align with societal values and human well-being. The discussion emphasizes that responsible AI development is not a static achievement but rather a continuous process requiring ongoing vigilance, collaborative effort, and adaptive governance structures.