# What the campaign is
Age-Friendly AI is a national initiative led by TU Dublin and Adapt, the Research Ireland centre for AI-driven digital content. The initiative is running an AI Opinions campaign to gather older adults' views on artificial intelligence.
The campaign asks older people about their hopes and concerns around AI and for ideas on how technology can be made more age-friendly. Responses are submitted through a short anonymous form on the Age-Friendly AI website.
# Why the campaign is running now
The launch coincides with the 60th anniversary of UNESCO's International Literacy Day. The project frames participation as a way to develop critical AI literacy skills and to understand how AI affects daily life for older adults.
The team is asking older adults across every county in Ireland to take part. They explicitly want:
- People who use AI and those who don't.
- Respondents who are enthusiastic, concerned, curious, or indifferent.
Laura Grehan, head of education, engagement and societal impact at Adapt, Dublin City University, urged older people across every county to take part, saying their views can provide important evidence for research and help inform policy and practice.
# How contributions will be used and treated
# Context within wider Adapt activity
Age-Friendly AI is part of Adapt's #DiscussAI national conversation on AI, a programme set up in 2021. That programme has engaged more than 85,000 people across Ireland in shared learning and reflection on technology's role in society.
# Practical next steps for readers
- If you are an older person in Ireland and want to contribute, visit the Age-Friendly AI website to find the short anonymous form.
- Encourage networks in regional counties to respond to help the campaign create balanced, nationwide representation.
# Why the responses matter
The project positions older people's lived experiences as evidence that can shape research and policy choices about AI design, regulation and use. The campaign aims to surface concrete hopes, concerns and practical suggestions that can guide developers and decision-makers.