In a typical clinic, a speech and language therapist might use an AI tool to help analyse a child’s speech sample. The tool can quickly suggest patterns or possible goals. This can save time, but it can also feel uncertain. The data may look clear, yet it does not fully show the child’s emotions, intentions, or interaction style. This is where many therapists are now finding themselves, trying to balance useful technology with their own clinical judgment. The new principles from the Royal College of Speech and Language Therapists aim to support therapists in this exact situation.
The document was created because AI is developing very quickly, and many therapists are already using it in small ways. Instead of giving strict rules, the principles guide therapists on how to think about AI use. They remind us that AI is a tool, not a decision-maker. Therapists still need to combine research, their own experience, and the needs of each client when making decisions.
One helpful way to understand this is to think about two types of thinking. AI often gives fast answers based on patterns. These answers can be helpful, but they are not always complete. Therapists, on the other hand, use slower, more careful thinking. They consider context, the client’s history, and what they observe in the session. The principles encourage therapists to pause and reflect, rather than automatically accepting AI suggestions.
AI can be very helpful in daily practice. It can support tasks like writing notes, tracking progress, or suggesting activities. This can reduce workload and give therapists more time to focus on clients. In some settings, especially where services are limited, AI may also help improve access to care. However, these benefits come with challenges. AI tools may not fully understand cultural differences, language diversity, or complex communication needs.
Looking at this from other fields, like psychology and neuroscience, reminds us that communication is more than words or scores. It includes relationships, body language, emotions, and context. Two clients may show similar speech patterns but have very different underlying needs. AI may not always recognise these differences. This is why therapist interpretation remains essential.
For researchers, AI also brings new questions. It is not enough to show that a tool is accurate. We also need to understand how it affects therapy outcomes, therapist decisions, and client experiences. Research will need to look at real-life use, not just controlled studies. This means working across fields, including technology, clinical practice, and education.
In everyday sessions, these principles can act as a guide for reflection. Therapists can ask simple questions: Is this tool helping my understanding? Does it fit this client? Am I still making the final decision? This is especially important in complex cases, where small details in communication matter. AI can support ideas, but it cannot replace the therapist’s full understanding of the person.
At the same time, there is a challenge. AI tools often use general data, but therapy must be personalised. Therapists need to adapt what the AI suggests to each individual. This requires not only clinical skill but also confidence in knowing when to question or adjust the tool’s output. The principles support this by reinforcing the therapist’s central role.
Ethically, using AI means taking responsibility for how it is used. Therapists need to be open about using AI and make sure clients understand when it is involved. There are also concerns about bias, as AI systems may not represent all populations fairly. In addition, some tools are not fully transparent, which can make it hard to understand how decisions are made. Therapists remain responsible for all clinical decisions, even when AI is involved.
Another important point is the therapeutic relationship. Trust, empathy, and connection are key parts of therapy. If therapists rely too much on AI during sessions, this may affect how present they are with clients. The principles remind us that human connection must stay at the centre of practice, even as we use new tools.
Overall, the Royal College’s principles do not give final answers, but they offer a helpful starting point. They encourage therapists to stay curious, thoughtful, and responsible when using AI. As technology continues to grow, therapists will play an important role in shaping how it is used in practice. The goal is not to replace human care, but to support it in a safe and meaningful way.