Generative Artificial Intelligence: Ethical Challenges and Trust Mechanisms
inforesearchPeer-Reviewed
researchsafety
Source: IEEE Xplore (Security & AI Journals)December 22, 2025
Summary
Generative AI (systems that create new text, images, or other content) is transforming many industries but raises ethical concerns like data privacy (protecting personal information), bias (unfair treatment of certain groups), transparency (being open about how the AI works), and accountability (responsibility for the AI's actions). Researchers propose a trust framework based on transparency, fairness, accountability, and privacy to help ensure generative AI is developed and used responsibly.
Classification
Attack SophisticationModerate
Impact (CIA+S)
safety
Original source: http://ieeexplore.ieee.org/document/11311388
First tracked: February 12, 2026 at 02:22 PM
Classified by LLM (prompt v3) · confidence: 85%