Ash CAIHL draft report

Ash: CAIHL reassessment

September 8, 2026. Published AI-assisted draft.

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.

Scope and agency posture

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.

Posture: Mixed, access gains with unproven clinical claims.

Axis: 70/100, retained provisionally. No numerical recalibration was performed.

Sources and documented findings

• The homepage explicitly lets users bring an agenda or accept guidance and describes remembered patterns and weekly insights.

• The August 19 privacy policy now says conversation training/improvement requires opt-in. Storage while active is separate from training consent. This materially corrects the baseline's broad training description.

• The EULA retains user-information rights, limits its operational license, and conditions improvement on opt-in. It also permits subscriptions and limits ordinary availability to the US, Canada, Australia, and New Zealand. The research page lists newer company studies, not a new independent outcome verification here.

Patient authority

Inference from the documented workflow: Users can set the agenda and decline training participation as documented. No direct mechanism for overriding persistent psychological characterizations was established.

Critical capacity

Editorial assessment: 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.

Informed control

Editorial assessment: 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.

Assessment and limits

Mixed remains supportable, but the old rationale should not imply default conversation training or a permanently free service. No fresh comprehensive clinical-effectiveness conclusion is made.

Confidence: Medium for updated rights and scope.

Remaining uncertainty: Actual consent defaults, editing or rejecting stored insights, generated-output portability, pricing by region, and independent evidence beyond the bounded index review.

Published documentation is evidence of stated conditions, not proof of actual implementation. Unknowns did not receive automatic negative points. Funding, sponsorship, and public code do not determine agency by themselves.

Review provenance

• Reviewer/model: OpenAI Codex / GPT-6.
• 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.
• 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.
• Earlier review: 2026-06-10. Historical assessment. Earlier claims are not automatically reverified by this publication.