Author: debbah

Following the presentation, the discussion addressed several questions on AI-driven disinformation, including the following:

An audience member asked how to enhance awareness of its impact on public opinions and trust in democracy. The group emphasized the importance of education through public campaigns and media literacy programs, as well as providing tools to help users better assess digital content, such as the checklist from the European Digital Media Observatory on detecting AI-generated content and the Deepfake Detection Challenge from MIT Media Lab.

“Disinformation is well a long-standing problem, but given that AI techniques present in the digital ecosystem create new possibilities to manipulate individuals effectively and at scale, multiple ethical
concerns arise or are exacerbated.” (Bontridder, N., & Poullet, Y. 2021: 5)²

Another question focused on how initiatives like IPILM could tackle the issue in communities with varying levels of digital literacy. The group emphasized the need for tailored approaches, recommending advanced tools for digitally literate audiences and more user-friendly methods for those with lower digital skills, supported by partnerships with local organizations and community leaders to ensure accessibility and cultural relevance.

The final question addressed how social media platforms can label AI-generated content without infringing on freedom of expression. The group stressed the need for clear, standardized practices that prioritize transparency and education over restrictions, ensuring that labeling informs rather than controls user behavior. The AI Regulation for Public Service Media Analysis by the European Broadcasting Union provides valuable insights into regulatory approaches that balance transparency and accountability with the protection of free expression.

Overall, the group pointed to a balance of awareness, tailored strategies, and ethical standards as crucial to managing the complex influence of AI-driven disinformation.