Generative Artificial Intelligence: Ethical Challenges and Trust Mechanisms

Abstract

Generative artificial intelligence is a groundbreaking technology transforming various sectors of society. However, its widespread adoption raises ethical concerns, including data privacy, bias risks, transparency, and accountability. Establishing trust mechanisms is critical to ensuring the sustainable development of this technology. This research investigates the ethical challenges faced by generative artificial intelligence and proposes a trust framework based on transparency, fairness, accountability, and privacy, with the objective of fostering responsible applications in economic and social contexts.

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