AI-Driven Media & Synthetic Knowledge: Rethinking Society in Generative Futures

TL;DR

This paper explores how generative AI and synthetic media are transforming societal trust, identity, and ethics, emphasizing the need for responsible AI use and societal reflection on these emerging technologies.

Contribution

It provides an in-depth analysis of societal implications of AI-driven synthetic media and offers practical guidance for responsible AI integration in media and education.

Findings

Identifies ethical risks associated with synthetic media.

Highlights societal challenges in trust and identity.

Proposes responsible AI use frameworks.

Abstract

Generative AI is not just a technological leap -- it is a societal stress test, reshaping trust, identity, equity, and authorship. This exploratory PhD seminar examined emerging academic trends in AI-driven synthetic media and worlds, emphasizing ethical risks and societal implications. In Part One, students explored core concepts such as generative AI, fake media, and synthetic knowledge production. In Part Two, they critically engaged with these challenges, producing actionable insights. The two-part format enabled deep reflection on power, responsibility, and education in AI-augmented communication. Outcomes offer practical guidance for educators, researchers, and institutions committed to fostering more responsible, human-centered AI use in media and society.