ΑΙhub.org
 

Exploring children’s rights and AI


by
04 July 2023



share this:
scottish flag

Children’s Parliament is a Scottish organisation dedicated to children’s human rights. They work with partners in communities to: demonstrate a children’s human rights approach, support children to get involved in policy, and to grow public awareness of children’s rights.

Recently, Children’s Parliament partnered with The Alan Turing Institute to develop a programme of work around engaging children with artificial intelligence (AI). This is part one in a three-phase project, and focussed on exploring children’s views of AI. The organisations worked with children from four schools explore several themes: how children interact with AI now, what they know and think about it, and what they think the possibilities and risks are for AI in the future, with specific reference to any impact on children’s human rights.

In this video, some of the children involved talk about their experiences and reflect on the activities that they took part in as part the project:

There is also a full report on this part of the project which you can read here.




Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Disappearing lakes and AI are helping scientists map Arctic permafrost thaw in near‑real time

  18 Sep 2026
Researchers created an interactive website to track permafrost thaw across the Arctic.

How much can fair budget-division rules resist manipulation?

The authors write about their award-winning IJCAI-ECAI paper: "Approximate Strategyproofness in Approval-based Budget Division".

AI dives into a sea of data, from plankton to pollution

  16 Sep 2026
“Faster and cheaper monitoring means problems like plankton decline, litter accumulation, oil spills and coral degradation can be picked up and acted on sooner."

Interview with Yash Saxena: how is external knowledge used in AI systems?

  15 Sep 2026
What happens to information from external sources as it moves through an AI system?

When AI art has no author: Study finds generated images often can’t be traced to training data

  14 Sep 2026
A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.

AI in nature conservation: powerful tool or dangerous shortcut?

  11 Sep 2026
AI provides opportunity for future biodiversity conservation but introduces risks .

Improving the process for large-scale recommender systems: an interview with Haruka Kiyohara

  10 Sep 2026
Credit-assigned policy gradient for early stage retrieval in two-stage ranking.

The Machine Ethics podcast: Data Collective with E.M. Lewis-Jong

Ben chats to E.M. Lewis-Jong about the promise of AI and making human connection easier, speech recognition and supporting linguistic diversity, making useful technologies that have a purpose, and more.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence