Tips for Using AI Safely in Social Care

The use of Artificial Intelligence (AI) is becoming increasingly commonplace across a number of sectors.

Research suggests that the strongest early benefits of AI are increased efficiency, fewer administrative errors, and greater capacity for staff to focus on the most important aspects of their work. However, AI also brings important risks, including inaccurate information, privacy concerns, bias, and over-reliance on automated systems.

For social care organisations, the challenge is not whether AI should be used, but how it can be used safely, ethically, and in ways that support good practice.

Understanding Where AI Can Help

Many of the most promising uses of AI in social care are administrative rather than care-related.

Examples include:

• Drafting routine documents, letters, and meeting notes
• Summarising policies, guidance, and research
• Producing training materials, quizzes, and learning resources
• Transcribing meetings and creating action logs
• Processing invoices and administrative paperwork
• Supporting reporting and performance dashboards
• Responding to routine staff queries through approved systems

These types of tasks can reduce administrative burden and free up staff time for more complex work and direct support activities.

Research also suggests that AI may help organisations identify trends, improve reporting, and make better use of existing data. However, AI should be viewed as a tool to support staff rather than replace professional expertise and judgement.

Understanding the Risks

While AI offers opportunities, it also presents important challenges.

One of the biggest risks is that AI systems can generate information that appears convincing but is inaccurate. Some tools can also produce outputs without clearly explaining how they reached a conclusion, making it difficult to verify recommendations.

Other risks include:

• Privacy and data protection concerns
• Bias and unfair outcomes
• Poor transparency and accountability
• Weak data quality leading to inaccurate results
• Over-reliance on automated systems
• Reduced professional challenge and critical thinking

Particular caution is needed where AI could influence aspects of care, safeguarding, individual rights, access to support, or staff competence. The evidence consistently suggests that AI should support human judgement, not replace it.

Social care is fundamentally relationship-based. Professional judgement, compassion, advocacy, and accountability must remain at the centre of decision-making.

Six Tips for Using AI Safely in Social Care

As AI becomes more widely available, organisations should adopt practical safeguards to ensure it is introduced responsibly.

1. Be Clear About Purpose and Boundaries

Define exactly what the tool is intended to do and what it is not intended to do. For example, AI may be suitable for drafting a report or summarising a meeting, but it should not be responsible for making decisions that affect a person’s care, rights, or safeguarding arrangements.

2. Maintain Human Oversight

A named individual should remain accountable for decisions and outputs generated by AI. Staff should always be able to review, challenge, amend, or override AI-generated content. Responsibility should remain with people, not technology.

3. Be transparent

People should understand when AI is being used and what it is being used for.

4. Promote Fairness and Inclusion

AI systems should be assessed for bias, accessibility, and inclusion before being adopted.  Organisations should also consider whether the technology works fairly across different groups and whether it could unintentionally disadvantage people with disabilities, communication difficulties, or additional support needs. Where AI may affect the support a person receives, organisations should ensure appropriate consent arrangements are in place, consider issues of capacity and best interests where relevant, and involve people who use services, families, carers, and experts by experience in reviewing how the technology is being used.

5. Protect Privacy and Security

Social care organisations routinely handle sensitive personal information, making data protection essential. Before introducing an AI tool, organisations should ensure:

• GDPR requirements are met
• Data collection is limited to what is necessary
• Appropriate security measures are in place
• Retention and deletion processes are clearly defined
• Suppliers provide assurances about how data is processed and stored

Personal or confidential information should only be used within approved and secure organisational systems.

6. Start Small and Monitor Carefully

Organisations should begin with low-risk pilots before considering wider implementation. Clear measures should be established from the outset to assess whether the technology is delivering benefits, improving quality, supporting accessibility, and creating a positive experience for staff and the people they support. Organisations should also monitor for unintended consequences and have a clear process for reviewing, changing, pausing, or stopping the use of a tool if concerns emerge.

In Summary

AI has the potential to support social care organisations by reducing administrative pressures, improving efficiency, and helping staff access information more quickly. However, successful use of AI depends on strong governance, clear boundaries, and ongoing human oversight.

As AI technology, regulation, and the evidence base continue to evolve, organisations should regularly review their approach to ensure it remains safe, lawful, effective, and aligned with best practice. Guidance, governance arrangements, and approved uses should be updated as new opportunities, risks, and requirements emerge.

Ultimately, AI should be seen as a tool to support good social care, not replace it. Compassion, professional judgement, dignity, and human connection remain at the heart of effective support and always will.

References:

• Johnston, A., Webb, P. and Davidson, G. (2026). Exploring the Role of Artificial Intelligence in Administrative Functions: A Rapid Review. Belfast: Praxis Care.
• Webb, P. and Davidson, G. (2026). Artificial Intelligence (AI) in Learning and Development in Social Care: Rapid Scoping Review. Belfast: Praxis Care.
• Webb, P. and Davidson, G. (2026). Artificial Intelligence in Social Care: Rapid Scoping Review. Belfast: Praxis Care.