AI, Youth and Media: What the Data Tells Us
Artificial intelligence is rapidly becoming part of everyday media production, education and communication. Young people are already using AI tools to write, translate, summarise, design, edit and generate creative ideas. For many, conversational AI tools have become the first point of contact with artificial intelligence.
However, the growing use of AI also brings new responsibilities. AI can support creativity and learning, but it can also increase the risks of misinformation, privacy violations, biased outputs, unclear authorship and over-reliance on automated content. This is why AI literacy and media literacy must now be developed together.
The AI4YOUTH MEDIA comparative needs analysis explored how young people, youth workers, educators and media professionals engage with AI across four countries: Türkiye, Malta, Serbia and Germany. The findings show a clear message: young people are interested in AI and already use it, but they need practical, ethical and accessible guidance.
What young people need for responsible AI use in media
A comparative needs analysis across Türkiye, Germany, Malta and Serbia shows that AI tools are already part of youth media practice. The next step is practical, ethical and inclusive training: verification, privacy, transparency, copyright awareness and creative workflows.
How to read the data
The figures below are indicative findings from small exploratory samples. They are best used to communicate priorities and training needs, not as statistically representative national results.
Youth questionnaire sample by country
Reported youth questionnaire sample sizes.
AI tools used by youth respondents in Türkiye
Counts out of 10 reported respondents.
Reported access and adoption barriers
Selected barriers from Türkiye and Malta. Multiple answers may be possible depending on the questionnaire format.
AI usage frequency
Reported youth usage patterns in Türkiye and Malta.
Serbia: attitudes toward bias, creativity and responsible use
Likert-style distributions reported by the Serbian questionnaire. Values show response shares.
Five practical pillars for AI and media literacy
The analysis points to a framework that combines creativity with safeguards.
Ethical and responsible AI use
Transparency, privacy, bias checks, disclosure and attribution.
Media integrity and verification
Fact-checking, source evaluation, synthetic media awareness and provenance.
AI-enabled production workflows
Text, design, audio, video, editing, planning and publishing support.
Pedagogy and youth facilitation
Hands-on learning, peer review, reflection, safeguarding and trainer support.
Accessibility and sustainability
Low-cost tools, inclusive access, resource hubs and regular updates.