Responsible artificial intelligence in healthcare requires more than accurate models. It requires thoughtful governance, clinically relevant design, transparent evaluation, trustworthy data, and meaningful involvement from healthcare professionals and patients.

This research area explores how AI-supported tools can be developed and introduced in ways that promote safety, fairness, accountability, and patient-centred care.

CHILLI is interested in practical approaches that help healthcare organisations assess readiness, evaluate risk, understand model limitations, and translate responsible AI principles into real-world clinical environments.