October 22 2025
As AI becomes part of everyday workflows, it is important to be mindful of how client data is used. Tools like large language models can improve efficiency – they also raise new privacy risks.
Why AI Raises New Privacy Considerations
AI tools, especially those powered by large language models and machine learning algorithms, often rely on vast amounts of data to function effectively. When client information is entered into AI systems, whether for summarising case notes, drafting emails, or generating reports, there’s a risk that this data could be exposed, stored, or used in ways that aren’t fully transparent.
Key Risks:
- Unintended Data Sharing: Inputting client details into third-party AI platforms may inadvertently share data with external parties.
- Lack of Control Over Data Storage: Some AI tools store user inputs to improve performance, which could include sensitive or identifiable information.
- Compliance Gaps: Using AI without proper safeguards may breach privacy laws or contractual obligations, especially in healthcare, rehabilitation, or legal contexts.
Best Practices for safe AI use:
- Avoid entering identifiable client data into public AI tools.
- Choose secure, enterprise-grade AI solutions that offer data governance, encryption, and compliance controls.
- Review your organisation’s privacy policies to ensure they cover AI usage.
- Educate your team on what types of data are safe to use with AI and what should be kept confidential.
- Seek understanding about how AI features are built and what protections are in place.
At Chameleon Software, our development roadmap includes features designed with privacy and compliance in mind.
