EaseTalk

AI Ethics

AI that supports communication — not replaces care.

EaseTalk uses AI to support structured talking activities, reflection, and clinician visibility. AI does not diagnose, make treatment decisions, or replace Speech and Language Therapists.

AI should reduce friction between sessions, not remove human care. EaseTalk is designed to keep clinicians, clients, and privacy at the centre of the experience.

Our AI position

Helpful support, clear limits, human judgement.

EaseTalk uses AI as an assistive layer around therapist-supported communication work. It can help create practice context, reduce admin friction, and make between-session activity easier to review. It is not a clinician, a diagnostic system, or a substitute for professional care.

Where AI may be used

Designed for support around talking activities.

Depending on the feature and setting, AI may be used in the following ways. Some capabilities may be experimental, limited, or introduced gradually.

Scenario conversations

AI may help create realistic conversation practice for everyday speaking situations assigned or reviewed by a therapist.

Speech-to-text

Speech technology may help convert spoken practice into text for review, reflection, or clinician visibility.

Text-to-speech

Generated speech may support guided prompts, scenario flow, or accessibility in talking activities.

Reflection prompts

AI may help users reflect on confidence, difficulty, and what felt important after a practice activity.

Progress summaries

AI may help summarise engagement signals so clinicians can review between-session activity more efficiently.

Clinician workflow support

AI may help reduce repetitive admin around reviewing activities, while leaving clinical interpretation to the SLT.

Clear boundaries

What AI does not do

These limits are central to how EaseTalk should be understood and used.

  • No diagnosisEaseTalk does not diagnose speech, language, communication, mental health, or medical conditions.
  • No independent treatment decisionsAI does not decide therapy plans, goals, or clinical next steps.
  • No replacement for SLTsEaseTalk supports between-session work and clinician visibility; it does not replace Speech and Language Therapists.
  • No emergency or crisis supportEaseTalk is not designed for urgent, emergency, or crisis situations.
  • No fully automated clinical decisionsAI outputs should be reviewable and should not be treated as final clinical judgement.

Human oversight

SLTs remain central.

EaseTalk is designed to support the relationship between a client and their Speech and Language Therapist, not step around it.

Reviewable outputs

AI outputs should be visible, editable, and possible to disregard where they are not useful or appropriate.

Clinical interpretation stays human

Clinicians remain responsible for clinical interpretation, care decisions, and how information is used in sessions.

Between-session context

EaseTalk helps surface activity, confidence, and reflection signals so sessions can begin with clearer context.

Client control

Users and clinicians should retain control over what is reviewed, corrected, shared, and acted on.

Data and privacy

Privacy-first by design.

Speech, transcripts, reflection notes, and progress data can be sensitive. EaseTalk treats that sensitivity as a product requirement.

Data minimisation

EaseTalk is designed around collecting and retaining only what is needed to provide the service and support clinical review.

EU-region infrastructure

Platform data is handled using EU-region infrastructure where appropriate for the service.

No training on identifiable user data

Identifiable user data is not used to train AI models.

Speech and transcript care

Speech and transcript handling should be privacy-first, access-controlled, and proportionate to the feature being used.

Bias, speech difference, and accessibility

Speech technology can be imperfect.

AI and speech systems can misunderstand people. EaseTalk should not treat AI outputs as perfect, especially where communication difference is part of the user experience.

Speech difference matters

Outputs may be affected by dysarthria, stuttering, aphasia, voice quality, pace, fatigue, or other communication differences.

Context matters

Accents, language variation, background noise, microphone quality, and device quality can affect system performance.

Control matters

Users and clinicians should be able to correct, ignore, or challenge AI outputs that do not reflect the person accurately.

Governance and future commitment

We expect our responsibilities to keep evolving.

EaseTalk will continue reviewing AI features with clinical input, user feedback, privacy obligations, and evolving regulation. As new capabilities are introduced, we will keep assessing what they are for, what they should not do, and how people remain in control.

Read the detailed policies

For legal terms, data handling details, or questions about EaseTalk, use the links below.