Generative Artificial Intelligence: Ethical Challenges and Trust Mechanisms

Summary

This research examines the ethical challenges of generative artificial intelligence, including data privacy, bias risks, transparency, and accountability. It proposes a trust framework built on transparency, fairness, accountability, and privacy, aimed at supporting responsible applications in economic and social contexts.