AI challenges journalism and media content trust

The rapidly evolving field of Artificial Intelligence (AI) presents significant challenges to traditional journalism, particularly with the proliferation of AI-generated visual and auditory content. Christian Stöcker, Professor of Digital Communication at the Hamburg University of Applied Sciences and a columnist for "Der Spiegel," emphasizes that AI-created images and videos are highly convincing to people, thereby facilitating deception.

"People are relatively easily convinced by images," Stöcker states. He explains that our visual memory processes images similarly to personal experiences, making them immediate and impactful. This capability to manipulate reality through visuals has been amplified by AI, leading to a deepening distrust of all media content.

"It is possibly an even greater problem that trust in authentic videos is eroding," Stöcker elaborates. He references Soviet propaganda handbooks from the 1920s that emphasized sowing doubt rather than directly instilling belief. The increasingly realistic fake videos and audio produced by AI amplify this fundamental mistrust, posing a real challenge to credible journalism.

However, Stöcker notes that media trust in Germany remains relatively high compared to many other countries. He acknowledges, though, that the media faces constant attacks, with campaigns like "Lügenpresse" (lying press) aiming to undermine confidence. "The goal is to weaken German society," he warns, clarifying that the erosion of trust in institutions that should be reliable also undermines the functioning of a democratic society.

AI will not replace journalists' work, according to Stöcker. "AI does not attend press conferences," he remarks metaphorically. While it can assist newsrooms, for example, in data analysis or certain content generation, it lacks the capacity for independent reporting, critical thinking, and ethical decision-making, which are cornerstones of quality journalism.