Exploration identifies ethical challenges in visual communication, suggesting a framework for better practices.
AIGC technology reconstructs the ethical dimensions of visual communication, triggering four fundamental transformations: redefinition of originality, dissolution of subjectivity, algorithmic bias, and attribution of rights and responsibilities. Practical applications reveal risks of copyright ambiguity, misinformation, and cognitive inertia. This paper proposes a human-machine collaborative ethical framework: establishing designers as ethical gatekeepers, institutionalizing content traceability and transparent labeling mechanisms, and constructing technology-critical workflows centered on human welfare.
No takes yet. Share an insight, caveat, or question.
Quan Jidong (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: