CAREVERSE™ · AI SAFETY & PRIVACY
Our safety approach connects clear boundaries, reproducible tests, accountable people and the ability to pause when something goes wrong.
We want AI to make care easier to navigate. That means recognizing uncertainty, respecting your permissions, protecting information and knowing when qualified people need to take over.
THREE AREAS OF RESPONSIBILITY
A helpful answer is one part of the experience. Safe actions, reliable handoffs and trustworthy provider information matter too.
01 · CLINICAL SAFETY
The workstream addresses missed urgency, false reassurance, unsafe medication guidance, vulnerable users and failed handoffs.
Proposed controls call for clinically reviewed responses, clear limits and appropriate escalation. Low AI confidence must never be treated as evidence that a potentially serious situation is safe.
02 · AGENT & DATA SAFETY
Bookings, messages, records and payments need defined permissions and any required confirmation.
The workstream calls for limited access, separation between users’ information and protection against malicious instructions hidden in websites or documents. Outside content must not expand what an assistant is allowed to do.
03 · PROVIDER INTEGRITY
Identity, credentials, account security and appointment availability need separate checks and ongoing review.
The proposed lifecycle covers impersonation, expired credentials, account takeover and stale availability. Sponsored placement should be clearly identified and must not bypass safety or eligibility requirements.
This page describes our initial safety workstream, a discussion draft defining what must be validated. It is not evidence that every control is implemented, that every test has passed, or that Careverse has obtained a certification or regulatory clearance.
EVIDENCE BEFORE ASSUMPTION
The proposed operating model connects five questions, from the harm we need to prevent to the action we take when evidence reveals a problem.
What could harm a person, provider or participant?
How can we prevent, detect and contain it?
Can we reproduce the scenario and expected behavior?
What results tell us whether the control works?
Who can escalate, pause or roll back?
22
Proposed prevention, detection, response, evidence, accountable roles and release blockers.
26
Clinical, agent, data, provider and release cases, including adversarial inputs and failed handoffs.
16
Measures covering unsafe reassurance, handoff performance, unauthorized actions, data exposure, provider integrity and containment.
These counts describe the draft framework’s scope, not completed tests or proven outcomes. Critical clinical cases require qualified human review. Test evidence should record the application, model, prompt, policy, retrieval, tool and vendor versions so a result can be reproduced.
FOLLOW-THROUGH IS PART OF SAFETY
A referral sent or a message attempted is not proof that another person accepted responsibility. The proposed escalation process requires a named owner, evidence of acceptance, a fallback when the destination is unavailable and a recorded reason for the action.
Reviews should consider the severity of possible harm, how quickly help may be needed and uncertainty in the available information.
Explore our research on referral completion →PROPOSED RELEASE GATES
The workstream proposes stopping the affected release path when a confirmed critical failure crosses a defined safety boundary.
A critical missed urgency or false reassurance; or a high-severity escalation failure without a safe fallback.
An action outside granted authority, a bypassed required confirmation, or sensitive information exposed across users or extracted without authorization.
A verification bypass that leaves an invalid provider bookable, or a critical test that cannot be reproduced because versions or fixtures are missing.
The response must connect containment, preserved evidence, an accountable owner and a release decision. Other thresholds remain provisional until baseline results, clinical judgment and operating capacity are reviewed.
THE INITIAL READINESS WORKSTREAM
The first-30-days framework organizes preparation into four stages. Each stage needs product-specific validation and accountable approval.
Document users, claims, data flows, tools, vendors, permissions and decision owners.
Agree on clinical categories, urgency, uncertainty, escalation and fallback responsibilities.
Run reproducible scenarios, adversarial variants and qualified clinical reviews.
Review provider integrity, measures, staged rollout, rollback readiness and unresolved risks.
PRIVACY & YOUR CONTROL
Our standards call for limited access, only the information needed for the authorized task and defined retention. Sharing information with an assistant does not authorize unrestricted model training or unrelated use.
Use official sign-in and payment screens. Keep passwords, verification codes and full payment credentials out of AI conversations.
Our Privacy Policy explains data use, account connections and applicable access, correction, deletion and consent-withdrawal rights.
LIDIA’S ROLE
Lidia does not diagnose, prescribe or replace a qualified healthcare professional. Careverse is not an emergency service. If you believe you are facing an emergency, contact local emergency services directly.
