Mental health AI
Ash
Ash offers patient-chosen mental health conversations. Published conditions describe opt-in improvement use, whose implementation was not tested. Its qualified agency finding does not establish clinical effectiveness or control over every therapeutic goal.
Published September 8, 2026 as an AI-assisted draft. The public report separates documented facts, agency judgments and unresolved questions.
Summary judgment · 70 out of 100 toward patient-directed
Slingshot AI's adult consumer emotional-support app, with self-directed or AI-guided conversations. Vendor-controlled self-help service, not professional therapy or crisis response.
Mixed, access gains with unproven clinical claims
Ash offers patient-chosen mental health conversations. Published conditions describe opt-in improvement use, whose implementation was not tested. Its qualified agency finding does not establish clinical effectiveness or control over every therapeutic goal.
Patient agency
How this tool changes agency
Reflection and pattern suggestions may expand understanding, but claims that an AI has found a personal pattern need inspectable evidence and opportunities to disagree. Friendly language and engagement are insufficient proof.
Actual consent defaults, editing or rejecting stored insights, generated-output portability, pricing by region, and independent evidence beyond the bounded index review.
Patient agency assessment
Who sets and changes the goal?
Users can set the agenda and decline training participation as documented. No direct mechanism for overriding persistent psychological characterizations was established.
What can the patient understand, question, or do?
Reflection and pattern suggestions may expand understanding, but claims that an AI has found a personal pattern need inspectable evidence and opportunities to disagree. Friendly language and engagement are insufficient proof.
Can the patient evaluate the conditions of use?
The revised policy and EULA are materially clearer about data use. Generated-content reuse and the basis of personal insights remain less clear than input ownership.
Text findings
Conditions of use
Published controls and their limits
The revised policy and EULA are materially clearer about data use. Generated-content reuse and the basis of personal insights remain less clear than input ownership.
What remains unknown?
Not tested or not established
Actual consent defaults, editing or rejecting stored insights, generated-output portability, pricing by region, and independent evidence beyond the bounded index review.
Who evaluated this?
AI-assisted public-source draft
Vendor statements describe published conditions, not independently verified behavior. No clinical, security, accessibility, or legal validation is claimed. Earlier evidence remains dated in the report and history.
Sources checked
- https://www.talktoash.com/
- https://www.talktoash.com/privacy
- https://www.talktoash.com/terms
- https://www.talktoash.com/clinical-research
Source-specific findings and retrieval limitations are recorded in the full report.
Review provenance
Criteria
CAIHL-derived HugoScore framework and September 7 qualitative review priorities. Draft v1.2 numerical anchors remain unadopted.
Reviewer
AI-assisted public-source reassessment prepared in OpenAI Codex.
AI / model
OpenAI Codex / GPT-6
Human review
Hugo Campos authorized publication of these AI-assisted draft reassessments on September 8, 2026. This does not claim comprehensive human verification of every finding.
Review date
2026-09-08
Limitations
Actual consent defaults, editing or rejecting stored insights, generated-output portability, pricing by region, and independent evidence beyond the bounded index review. No live product use, patient-data upload, account creation, code audit, clinical evaluation, or independent implementation validation.
Review method
Focused public-source reassessment using CAIHL: patient authority, critical capacity, and informed control. Existing evidence plus one focused primary-source pass and at most one targeted follow-up. No live product testing. Numerical scores remain provisional editorial placements, not a new calculation.
AI-assisted draft · Medium for updated rights and scope (AI-assisted draft)