By Efe Onodjae

A new white paper outlining an ethically governed, artificial intelligence, enabled care management framework has been launched, positioning a UK university research centre at the heart of efforts to reform digital practice in social care.

The publication presents a blueprint for deploying AI in social care settings while safeguarding dignity, accountability, safety and public trust, at a time when the sector is facing mounting workforce shortages, rising demand and stricter regulatory scrutiny.

The report, Reimagining Ethical Intelligence in Social Care, introduces an integrated digital care ecosystem designed to support, rather than replace, human decision-making. It emphasises explainable, advisory AI systems that operate within clearly defined ethical and governance boundaries.

At the centre of the framework is the Centre of Intelligence of Things (CIoTh) at the University of Greater Manchester, an interdisciplinary research hub specialising in applied artificial intelligence, intelligent systems, data-driven decision support and responsible innovation.

Under the collaboration, CIoTh is tasked with providing academic oversight, ethical assurance, technical validation and independent evaluation throughout the platform’s pilot and rollout phases. The research centre will also lead structured impact assessments to ensure that the technology meets professional standards in safeguarding, care quality and data governance.

According to the white paper, social care represents a high-risk environment where poorly governed technology could cause significant harm. It argues that AI deployment in the sector must be subject to rigorous transparency, auditability and evidence-based evaluation.

The document stresses that the proposed system is not a generic digital tool but a human-centred ecosystem. AI-generated insights are designed to remain interpretable and traceable, with final judgement retained by care professionals.

Safeguarding alerts are framed as early-warning supports rather than automated decisions, while data governance is aligned with UK expectations on privacy, proportionality and accountability.

The launch comes amid sustained pressure across the UK social care system, where providers are grappling with administrative overload, fragmented digital records and increasing inspection demands. The white paper contends that technology must reduce operational burden while strengthening quality assurance and safeguarding outcomes.

The proposed platform integrates workforce planning, digital care records, medication management, incident reporting, safeguarding workflows, training and compliance monitoring, family communication tools and commissioner dashboards into a single secure environment.
A phased rollout strategy is outlined, beginning with sandbox testing and controlled pilots, followed by wider trials with external partners. Evaluation metrics will include safeguarding outcomes, incident prevention, inspection readiness, workforce stability, family satisfaction, communication confidence and audit performance.

The authors argue that this evidence-led approach is intended to move beyond aspirational claims and demonstrate measurable improvement before large-scale adoption.

The white paper concludes with a call for collaboration across care providers, commissioners, academic institutions and technology partners to co-design and validate ethically grounded innovation in social care, warning that digital transformation is inevitable but must be governed, inclusive and accountable.