This report offers an accessible way for parents, educators, policymakers and anyone in children’s lives to think about some of the challenges that come from younger children’s use and engagement with artificial intelligence (AI)-powered tools, devices and toys, ranging from AI chatbots and companions to AI teddy bears.

This discussion paper examines the intersection of artificial intelligence (AI) and evidence-informed policymaking, outlining how AI can support problem identification, policy design and implementation. It emphasises that AI augments rather than replaces human judgement, while highlighting its potential to expand the evidence base and support more timely, responsive decision-making in complex health contexts.

Artificial intelligence (AI) is rapidly being embedded across companies’ products, services and internal operations, yet governance and disclosure are not evolving at the same speed. This report looks at corporate practice in the context of the emerging responsible AI regulatory landscape. It finds that public commitment from companies to AI governance frameworks remains low.

Artificial Intelligence (AI), when scaled responsibly, holds significant potential for healthcare systems. Yet significant barriers to its adoption remain, including fragmented data foundations, regulatory uncertainty, and gaps in governance and workforce capacity. To help support actions toward the responsible scale of AI in health, a policy checklist was developed to guide decision making and prioritisation.

The issue of targeted disinformation and harassment of local elected representatives is a local manifestation of broader societal trends. This report considers how harassment of local elected representatives is enabled by new technologies and capabilities to manipulate information. It recommends enhanced regulatory protections, including a holistic response model.