Technological Realization of AI in Media: Ethical Implications for Content Generation, Immersive Storytelling, and Automated Moderation Systems
Year: 2025
Type: article
Abstract: Media technologies now heavily rely on Artificial Intelligence (AI) to drive content creation while enhancing immersive storytelling and enabling automated content moderation. AI techniques like natural language processing and generative adversarial networks have transformed media production through automating creative tasks which once needed substantial human effort. These technological advances trigger serious ethical issues including algorithm bias in AI systems privacy threats in immersive storytelling and automated moderation system reliability. The research investigates ethical issues surrounding AI applications in media through a dual approach that integrates a literature review with experimental data from surveys, focus group discussions and simulations. The study demonstrates users recognize AI advantages in media yet express serious worries about algorithmic bias and privacy infringements alongside the technology's lack of openness. The research identifies transparency and accountability in AI systems as essential requirements for building user trust and guaranteeing ethical technology implementation. The implementation of ethical design principles serves as essential elements for increasing user engagement and upholding ethical standards in AI-driven media applications.
Author: Weiwei Mao
Institution: Renmin University of China
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4408676511