AI-Driven Media & Synthetic Knowledge: Rethinking Society in Generative Futures
By: Katalin Feher
Potential Business Impact:
Teaches how to use AI for good.
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.
Similar Papers
The Generative AI Paradox: GenAI and the Erosion of Trust, the Corrosion of Information Verification, and the Demise of Truth
Computers and Society
Makes fake online worlds that trick everyone.
Generative AI as Digital Media
Computers and Society
Makes AI trustworthy like news sources.
Generative AI and News Consumption: Design Fictions and Critical Analysis
Human-Computer Interaction
AI news might make us understand things less.