Wpsy Digital Mental Health Tool Standard is published as a Wpsy standard for readers who need a serious institutional view of digital mental health tools, AI-supported psychology applications, human oversight, privacy, safety escalation, evidence claims, and algorithmic accountability. The document uses the language of standards, evidence, review, governance, and public accountability rather than promotional wellness language or unbounded professional claims.
The underlying thesis is that digital products can scale psychological language faster than governance systems can evaluate it; trust depends on claim classification, risk segmentation, data minimization, human oversight, evidence transparency, crisis guidance, and monitoring of product updates. Wpsy therefore presents this material as part of a connected operating system: standards define expectations, certification and review pathways examine evidence, membership supports professional development, directory records communicate verified categories, reports interpret trends, events convene stakeholders, awards recognize responsible practice, and resources help institutions implement change.
Wpsy is an independent standards, education, verification, and professional development organization. Wpsy certifications, reviews, directory records, reports, awards, and educational materials do not replace national licences, medical licences, clinical credentials, protected professional titles, or legal authorization to practise psychology, psychotherapy, counselling, medicine, or any regulated health profession. Wpsy does not provide diagnosis, treatment, emergency care, or individual medical advice. Urgent mental health concerns should be directed to local emergency services or qualified licensed professionals.
Standard Statement
Standard Statement establishes how Wpsy Digital Mental Health Tool Standard should be interpreted as a normative Wpsy document. The standard is not written as a slogan or a marketing badge; it is a conformity framework that translates psychological knowledge into reviewable expectations, evidence categories, decision rules, and renewal obligations.
For the domain of digital mental health tools, AI-supported psychology applications, human oversight, privacy, safety escalation, evidence claims, and algorithmic accountability, the central discipline is to make the claim narrower than the evidence, clearer than the marketing language, and safer than the strongest commercial interpretation. Wpsy treats this as a public-interest requirement because psychology-related claims can shape decisions about education, employment, technology use, wellbeing programs, and professional services.
A reviewer applying this part of the standard should ask whether the applicant can show current documentation, responsible governance, safeguarding controls, conflict disclosure, and public communication language that ordinary readers can understand. Evidence may include product claim matrices, safety protocols, privacy documentation, user-risk classification, model update logs, evaluation summaries, adverse-event procedures, bias monitoring notes, and user communication screens, but the reviewer should also examine whether the evidence actually supports the claim being made.
The principal risk is not the absence of impressive language; it is the presence of language that outruns reality. The risks include unvalidated therapeutic claims, unsafe automation, crisis misdirection, sensitive data misuse, opaque model behaviour, bias, over-reliance, and substitution for licensed care. The standard therefore favours proportionate statements, traceable records, renewal dates, correction routes, and the ability to withhold or withdraw recognition when a claim cannot be supported.
Institutional markers
- Define the claim, activity, audience, and exclusion before reviewing conformity.
- Map evidence to criteria instead of treating volume of documents as quality.
- Require safeguarding, privacy, disclosure, and correction routes where public risk exists.
- Limit public claims to the specific scope that the standard can support.
- Review renewal evidence before allowing a record to remain current.
Purpose and Public-Interest Rationale
Purpose and Public-Interest Rationale establishes how Wpsy Digital Mental Health Tool Standard should be interpreted as a normative Wpsy document. The standard is not written as a slogan or a marketing badge; it is a conformity framework that translates psychological knowledge into reviewable expectations, evidence categories, decision rules, and renewal obligations.
For the domain of digital mental health tools, AI-supported psychology applications, human oversight, privacy, safety escalation, evidence claims, and algorithmic accountability, the central discipline is to make the claim narrower than the evidence, clearer than the marketing language, and safer than the strongest commercial interpretation. Wpsy treats this as a public-interest requirement because psychology-related claims can shape decisions about education, employment, technology use, wellbeing programs, and professional services.
A reviewer applying this part of the standard should ask whether the applicant can show current documentation, responsible governance, safeguarding controls, conflict disclosure, and public communication language that ordinary readers can understand. Evidence may include product claim matrices, safety protocols, privacy documentation, user-risk classification, model update logs, evaluation summaries, adverse-event procedures, bias monitoring notes, and user communication screens, but the reviewer should also examine whether the evidence actually supports the claim being made.
The principal risk is not the absence of impressive language; it is the presence of language that outruns reality. The risks include unvalidated therapeutic claims, unsafe automation, crisis misdirection, sensitive data misuse, opaque model behaviour, bias, over-reliance, and substitution for licensed care. The standard therefore favours proportionate statements, traceable records, renewal dates, correction routes, and the ability to withhold or withdraw recognition when a claim cannot be supported.
Institutional markers
- Define the claim, activity, audience, and exclusion before reviewing conformity.
- Map evidence to criteria instead of treating volume of documents as quality.
- Require safeguarding, privacy, disclosure, and correction routes where public risk exists.
- Limit public claims to the specific scope that the standard can support.
- Review renewal evidence before allowing a record to remain current.
Scope and Exclusions
Scope and Exclusions establishes how Wpsy Digital Mental Health Tool Standard should be interpreted as a normative Wpsy document. The standard is not written as a slogan or a marketing badge; it is a conformity framework that translates psychological knowledge into reviewable expectations, evidence categories, decision rules, and renewal obligations.
For the domain of digital mental health tools, AI-supported psychology applications, human oversight, privacy, safety escalation, evidence claims, and algorithmic accountability, the central discipline is to make the claim narrower than the evidence, clearer than the marketing language, and safer than the strongest commercial interpretation. Wpsy treats this as a public-interest requirement because psychology-related claims can shape decisions about education, employment, technology use, wellbeing programs, and professional services.
A reviewer applying this part of the standard should ask whether the applicant can show current documentation, responsible governance, safeguarding controls, conflict disclosure, and public communication language that ordinary readers can understand. Evidence may include product claim matrices, safety protocols, privacy documentation, user-risk classification, model update logs, evaluation summaries, adverse-event procedures, bias monitoring notes, and user communication screens, but the reviewer should also examine whether the evidence actually supports the claim being made.
The principal risk is not the absence of impressive language; it is the presence of language that outruns reality. The risks include unvalidated therapeutic claims, unsafe automation, crisis misdirection, sensitive data misuse, opaque model behaviour, bias, over-reliance, and substitution for licensed care. The standard therefore favours proportionate statements, traceable records, renewal dates, correction routes, and the ability to withhold or withdraw recognition when a claim cannot be supported.
Institutional markers
- Define the claim, activity, audience, and exclusion before reviewing conformity.
- Map evidence to criteria instead of treating volume of documents as quality.
- Require safeguarding, privacy, disclosure, and correction routes where public risk exists.
- Limit public claims to the specific scope that the standard can support.
- Review renewal evidence before allowing a record to remain current.
Definitions
Definitions establishes how Wpsy Digital Mental Health Tool Standard should be interpreted as a normative Wpsy document. The standard is not written as a slogan or a marketing badge; it is a conformity framework that translates psychological knowledge into reviewable expectations, evidence categories, decision rules, and renewal obligations.
For the domain of digital mental health tools, AI-supported psychology applications, human oversight, privacy, safety escalation, evidence claims, and algorithmic accountability, the central discipline is to make the claim narrower than the evidence, clearer than the marketing language, and safer than the strongest commercial interpretation. Wpsy treats this as a public-interest requirement because psychology-related claims can shape decisions about education, employment, technology use, wellbeing programs, and professional services.
A reviewer applying this part of the standard should ask whether the applicant can show current documentation, responsible governance, safeguarding controls, conflict disclosure, and public communication language that ordinary readers can understand. Evidence may include product claim matrices, safety protocols, privacy documentation, user-risk classification, model update logs, evaluation summaries, adverse-event procedures, bias monitoring notes, and user communication screens, but the reviewer should also examine whether the evidence actually supports the claim being made.
The principal risk is not the absence of impressive language; it is the presence of language that outruns reality. The risks include unvalidated therapeutic claims, unsafe automation, crisis misdirection, sensitive data misuse, opaque model behaviour, bias, over-reliance, and substitution for licensed care. The standard therefore favours proportionate statements, traceable records, renewal dates, correction routes, and the ability to withhold or withdraw recognition when a claim cannot be supported.
Institutional markers
- Define the claim, activity, audience, and exclusion before reviewing conformity.
- Map evidence to criteria instead of treating volume of documents as quality.
- Require safeguarding, privacy, disclosure, and correction routes where public risk exists.
- Limit public claims to the specific scope that the standard can support.
- Review renewal evidence before allowing a record to remain current.
Intended Users
Intended Users establishes how Wpsy Digital Mental Health Tool Standard should be interpreted as a normative Wpsy document. The standard is not written as a slogan or a marketing badge; it is a conformity framework that translates psychological knowledge into reviewable expectations, evidence categories, decision rules, and renewal obligations.
For the domain of digital mental health tools, AI-supported psychology applications, human oversight, privacy, safety escalation, evidence claims, and algorithmic accountability, the central discipline is to make the claim narrower than the evidence, clearer than the marketing language, and safer than the strongest commercial interpretation. Wpsy treats this as a public-interest requirement because psychology-related claims can shape decisions about education, employment, technology use, wellbeing programs, and professional services.
A reviewer applying this part of the standard should ask whether the applicant can show current documentation, responsible governance, safeguarding controls, conflict disclosure, and public communication language that ordinary readers can understand. Evidence may include product claim matrices, safety protocols, privacy documentation, user-risk classification, model update logs, evaluation summaries, adverse-event procedures, bias monitoring notes, and user communication screens, but the reviewer should also examine whether the evidence actually supports the claim being made.
The principal risk is not the absence of impressive language; it is the presence of language that outruns reality. The risks include unvalidated therapeutic claims, unsafe automation, crisis misdirection, sensitive data misuse, opaque model behaviour, bias, over-reliance, and substitution for licensed care. The standard therefore favours proportionate statements, traceable records, renewal dates, correction routes, and the ability to withhold or withdraw recognition when a claim cannot be supported.
Institutional markers
- Define the claim, activity, audience, and exclusion before reviewing conformity.
- Map evidence to criteria instead of treating volume of documents as quality.
- Require safeguarding, privacy, disclosure, and correction routes where public risk exists.
- Limit public claims to the specific scope that the standard can support.
- Review renewal evidence before allowing a record to remain current.
Governance Requirements
Governance Requirements establishes how Wpsy Digital Mental Health Tool Standard should be interpreted as a normative Wpsy document. The standard is not written as a slogan or a marketing badge; it is a conformity framework that translates psychological knowledge into reviewable expectations, evidence categories, decision rules, and renewal obligations.
For the domain of digital mental health tools, AI-supported psychology applications, human oversight, privacy, safety escalation, evidence claims, and algorithmic accountability, the central discipline is to make the claim narrower than the evidence, clearer than the marketing language, and safer than the strongest commercial interpretation. Wpsy treats this as a public-interest requirement because psychology-related claims can shape decisions about education, employment, technology use, wellbeing programs, and professional services.
A reviewer applying this part of the standard should ask whether the applicant can show current documentation, responsible governance, safeguarding controls, conflict disclosure, and public communication language that ordinary readers can understand. Evidence may include product claim matrices, safety protocols, privacy documentation, user-risk classification, model update logs, evaluation summaries, adverse-event procedures, bias monitoring notes, and user communication screens, but the reviewer should also examine whether the evidence actually supports the claim being made.
The principal risk is not the absence of impressive language; it is the presence of language that outruns reality. The risks include unvalidated therapeutic claims, unsafe automation, crisis misdirection, sensitive data misuse, opaque model behaviour, bias, over-reliance, and substitution for licensed care. The standard therefore favours proportionate statements, traceable records, renewal dates, correction routes, and the ability to withhold or withdraw recognition when a claim cannot be supported.
Institutional markers
- Define the claim, activity, audience, and exclusion before reviewing conformity.
- Map evidence to criteria instead of treating volume of documents as quality.
- Require safeguarding, privacy, disclosure, and correction routes where public risk exists.
- Limit public claims to the specific scope that the standard can support.
- Review renewal evidence before allowing a record to remain current.
Criterion 1: Scope Integrity
Criterion 1: Scope Integrity establishes how Wpsy Digital Mental Health Tool Standard should be interpreted as a normative Wpsy document. The standard is not written as a slogan or a marketing badge; it is a conformity framework that translates psychological knowledge into reviewable expectations, evidence categories, decision rules, and renewal obligations.
For the domain of digital mental health tools, AI-supported psychology applications, human oversight, privacy, safety escalation, evidence claims, and algorithmic accountability, the central discipline is to make the claim narrower than the evidence, clearer than the marketing language, and safer than the strongest commercial interpretation. Wpsy treats this as a public-interest requirement because psychology-related claims can shape decisions about education, employment, technology use, wellbeing programs, and professional services.
A reviewer applying this part of the standard should ask whether the applicant can show current documentation, responsible governance, safeguarding controls, conflict disclosure, and public communication language that ordinary readers can understand. Evidence may include product claim matrices, safety protocols, privacy documentation, user-risk classification, model update logs, evaluation summaries, adverse-event procedures, bias monitoring notes, and user communication screens, but the reviewer should also examine whether the evidence actually supports the claim being made.
The principal risk is not the absence of impressive language; it is the presence of language that outruns reality. The risks include unvalidated therapeutic claims, unsafe automation, crisis misdirection, sensitive data misuse, opaque model behaviour, bias, over-reliance, and substitution for licensed care. The standard therefore favours proportionate statements, traceable records, renewal dates, correction routes, and the ability to withhold or withdraw recognition when a claim cannot be supported.
Institutional markers
- Define the claim, activity, audience, and exclusion before reviewing conformity.
- Map evidence to criteria instead of treating volume of documents as quality.
- Require safeguarding, privacy, disclosure, and correction routes where public risk exists.
- Limit public claims to the specific scope that the standard can support.
- Review renewal evidence before allowing a record to remain current.
Criterion 2: Evidence Quality
Criterion 2: Evidence Quality establishes how Wpsy Digital Mental Health Tool Standard should be interpreted as a normative Wpsy document. The standard is not written as a slogan or a marketing badge; it is a conformity framework that translates psychological knowledge into reviewable expectations, evidence categories, decision rules, and renewal obligations.
For the domain of digital mental health tools, AI-supported psychology applications, human oversight, privacy, safety escalation, evidence claims, and algorithmic accountability, the central discipline is to make the claim narrower than the evidence, clearer than the marketing language, and safer than the strongest commercial interpretation. Wpsy treats this as a public-interest requirement because psychology-related claims can shape decisions about education, employment, technology use, wellbeing programs, and professional services.
A reviewer applying this part of the standard should ask whether the applicant can show current documentation, responsible governance, safeguarding controls, conflict disclosure, and public communication language that ordinary readers can understand. Evidence may include product claim matrices, safety protocols, privacy documentation, user-risk classification, model update logs, evaluation summaries, adverse-event procedures, bias monitoring notes, and user communication screens, but the reviewer should also examine whether the evidence actually supports the claim being made.
The principal risk is not the absence of impressive language; it is the presence of language that outruns reality. The risks include unvalidated therapeutic claims, unsafe automation, crisis misdirection, sensitive data misuse, opaque model behaviour, bias, over-reliance, and substitution for licensed care. The standard therefore favours proportionate statements, traceable records, renewal dates, correction routes, and the ability to withhold or withdraw recognition when a claim cannot be supported.
Institutional markers
- Define the claim, activity, audience, and exclusion before reviewing conformity.
- Map evidence to criteria instead of treating volume of documents as quality.
- Require safeguarding, privacy, disclosure, and correction routes where public risk exists.
- Limit public claims to the specific scope that the standard can support.
- Review renewal evidence before allowing a record to remain current.
Criterion 3: Ethics and Safeguarding
Criterion 3: Ethics and Safeguarding establishes how Wpsy Digital Mental Health Tool Standard should be interpreted as a normative Wpsy document. The standard is not written as a slogan or a marketing badge; it is a conformity framework that translates psychological knowledge into reviewable expectations, evidence categories, decision rules, and renewal obligations.
For the domain of digital mental health tools, AI-supported psychology applications, human oversight, privacy, safety escalation, evidence claims, and algorithmic accountability, the central discipline is to make the claim narrower than the evidence, clearer than the marketing language, and safer than the strongest commercial interpretation. Wpsy treats this as a public-interest requirement because psychology-related claims can shape decisions about education, employment, technology use, wellbeing programs, and professional services.
A reviewer applying this part of the standard should ask whether the applicant can show current documentation, responsible governance, safeguarding controls, conflict disclosure, and public communication language that ordinary readers can understand. Evidence may include product claim matrices, safety protocols, privacy documentation, user-risk classification, model update logs, evaluation summaries, adverse-event procedures, bias monitoring notes, and user communication screens, but the reviewer should also examine whether the evidence actually supports the claim being made.
The principal risk is not the absence of impressive language; it is the presence of language that outruns reality. The risks include unvalidated therapeutic claims, unsafe automation, crisis misdirection, sensitive data misuse, opaque model behaviour, bias, over-reliance, and substitution for licensed care. The standard therefore favours proportionate statements, traceable records, renewal dates, correction routes, and the ability to withhold or withdraw recognition when a claim cannot be supported.
Institutional markers
- Define the claim, activity, audience, and exclusion before reviewing conformity.
- Map evidence to criteria instead of treating volume of documents as quality.
- Require safeguarding, privacy, disclosure, and correction routes where public risk exists.
- Limit public claims to the specific scope that the standard can support.
- Review renewal evidence before allowing a record to remain current.
Criterion 4: Communication Boundaries
Criterion 4: Communication Boundaries establishes how Wpsy Digital Mental Health Tool Standard should be interpreted as a normative Wpsy document. The standard is not written as a slogan or a marketing badge; it is a conformity framework that translates psychological knowledge into reviewable expectations, evidence categories, decision rules, and renewal obligations.
For the domain of digital mental health tools, AI-supported psychology applications, human oversight, privacy, safety escalation, evidence claims, and algorithmic accountability, the central discipline is to make the claim narrower than the evidence, clearer than the marketing language, and safer than the strongest commercial interpretation. Wpsy treats this as a public-interest requirement because psychology-related claims can shape decisions about education, employment, technology use, wellbeing programs, and professional services.
A reviewer applying this part of the standard should ask whether the applicant can show current documentation, responsible governance, safeguarding controls, conflict disclosure, and public communication language that ordinary readers can understand. Evidence may include product claim matrices, safety protocols, privacy documentation, user-risk classification, model update logs, evaluation summaries, adverse-event procedures, bias monitoring notes, and user communication screens, but the reviewer should also examine whether the evidence actually supports the claim being made.
The principal risk is not the absence of impressive language; it is the presence of language that outruns reality. The risks include unvalidated therapeutic claims, unsafe automation, crisis misdirection, sensitive data misuse, opaque model behaviour, bias, over-reliance, and substitution for licensed care. The standard therefore favours proportionate statements, traceable records, renewal dates, correction routes, and the ability to withhold or withdraw recognition when a claim cannot be supported.
Institutional markers
- Define the claim, activity, audience, and exclusion before reviewing conformity.
- Map evidence to criteria instead of treating volume of documents as quality.
- Require safeguarding, privacy, disclosure, and correction routes where public risk exists.
- Limit public claims to the specific scope that the standard can support.
- Review renewal evidence before allowing a record to remain current.
Criterion 5: Documentation and Renewal
Criterion 5: Documentation and Renewal establishes how Wpsy Digital Mental Health Tool Standard should be interpreted as a normative Wpsy document. The standard is not written as a slogan or a marketing badge; it is a conformity framework that translates psychological knowledge into reviewable expectations, evidence categories, decision rules, and renewal obligations.
For the domain of digital mental health tools, AI-supported psychology applications, human oversight, privacy, safety escalation, evidence claims, and algorithmic accountability, the central discipline is to make the claim narrower than the evidence, clearer than the marketing language, and safer than the strongest commercial interpretation. Wpsy treats this as a public-interest requirement because psychology-related claims can shape decisions about education, employment, technology use, wellbeing programs, and professional services.
A reviewer applying this part of the standard should ask whether the applicant can show current documentation, responsible governance, safeguarding controls, conflict disclosure, and public communication language that ordinary readers can understand. Evidence may include product claim matrices, safety protocols, privacy documentation, user-risk classification, model update logs, evaluation summaries, adverse-event procedures, bias monitoring notes, and user communication screens, but the reviewer should also examine whether the evidence actually supports the claim being made.
The principal risk is not the absence of impressive language; it is the presence of language that outruns reality. The risks include unvalidated therapeutic claims, unsafe automation, crisis misdirection, sensitive data misuse, opaque model behaviour, bias, over-reliance, and substitution for licensed care. The standard therefore favours proportionate statements, traceable records, renewal dates, correction routes, and the ability to withhold or withdraw recognition when a claim cannot be supported.
Institutional markers
- Define the claim, activity, audience, and exclusion before reviewing conformity.
- Map evidence to criteria instead of treating volume of documents as quality.
- Require safeguarding, privacy, disclosure, and correction routes where public risk exists.
- Limit public claims to the specific scope that the standard can support.
- Review renewal evidence before allowing a record to remain current.
Review Procedure
Review Procedure establishes how Wpsy Digital Mental Health Tool Standard should be interpreted as a normative Wpsy document. The standard is not written as a slogan or a marketing badge; it is a conformity framework that translates psychological knowledge into reviewable expectations, evidence categories, decision rules, and renewal obligations.
For the domain of digital mental health tools, AI-supported psychology applications, human oversight, privacy, safety escalation, evidence claims, and algorithmic accountability, the central discipline is to make the claim narrower than the evidence, clearer than the marketing language, and safer than the strongest commercial interpretation. Wpsy treats this as a public-interest requirement because psychology-related claims can shape decisions about education, employment, technology use, wellbeing programs, and professional services.
A reviewer applying this part of the standard should ask whether the applicant can show current documentation, responsible governance, safeguarding controls, conflict disclosure, and public communication language that ordinary readers can understand. Evidence may include product claim matrices, safety protocols, privacy documentation, user-risk classification, model update logs, evaluation summaries, adverse-event procedures, bias monitoring notes, and user communication screens, but the reviewer should also examine whether the evidence actually supports the claim being made.
The principal risk is not the absence of impressive language; it is the presence of language that outruns reality. The risks include unvalidated therapeutic claims, unsafe automation, crisis misdirection, sensitive data misuse, opaque model behaviour, bias, over-reliance, and substitution for licensed care. The standard therefore favours proportionate statements, traceable records, renewal dates, correction routes, and the ability to withhold or withdraw recognition when a claim cannot be supported.
Institutional markers
- Define the claim, activity, audience, and exclusion before reviewing conformity.
- Map evidence to criteria instead of treating volume of documents as quality.
- Require safeguarding, privacy, disclosure, and correction routes where public risk exists.
- Limit public claims to the specific scope that the standard can support.
- Review renewal evidence before allowing a record to remain current.
Nonconformity and Corrective Action
Nonconformity and Corrective Action establishes how Wpsy Digital Mental Health Tool Standard should be interpreted as a normative Wpsy document. The standard is not written as a slogan or a marketing badge; it is a conformity framework that translates psychological knowledge into reviewable expectations, evidence categories, decision rules, and renewal obligations.
For the domain of digital mental health tools, AI-supported psychology applications, human oversight, privacy, safety escalation, evidence claims, and algorithmic accountability, the central discipline is to make the claim narrower than the evidence, clearer than the marketing language, and safer than the strongest commercial interpretation. Wpsy treats this as a public-interest requirement because psychology-related claims can shape decisions about education, employment, technology use, wellbeing programs, and professional services.
A reviewer applying this part of the standard should ask whether the applicant can show current documentation, responsible governance, safeguarding controls, conflict disclosure, and public communication language that ordinary readers can understand. Evidence may include product claim matrices, safety protocols, privacy documentation, user-risk classification, model update logs, evaluation summaries, adverse-event procedures, bias monitoring notes, and user communication screens, but the reviewer should also examine whether the evidence actually supports the claim being made.
The principal risk is not the absence of impressive language; it is the presence of language that outruns reality. The risks include unvalidated therapeutic claims, unsafe automation, crisis misdirection, sensitive data misuse, opaque model behaviour, bias, over-reliance, and substitution for licensed care. The standard therefore favours proportionate statements, traceable records, renewal dates, correction routes, and the ability to withhold or withdraw recognition when a claim cannot be supported.
Institutional markers
- Define the claim, activity, audience, and exclusion before reviewing conformity.
- Map evidence to criteria instead of treating volume of documents as quality.
- Require safeguarding, privacy, disclosure, and correction routes where public risk exists.
- Limit public claims to the specific scope that the standard can support.
- Review renewal evidence before allowing a record to remain current.
Cultural and Jurisdictional Adaptation
Cultural and Jurisdictional Adaptation establishes how Wpsy Digital Mental Health Tool Standard should be interpreted as a normative Wpsy document. The standard is not written as a slogan or a marketing badge; it is a conformity framework that translates psychological knowledge into reviewable expectations, evidence categories, decision rules, and renewal obligations.
For the domain of digital mental health tools, AI-supported psychology applications, human oversight, privacy, safety escalation, evidence claims, and algorithmic accountability, the central discipline is to make the claim narrower than the evidence, clearer than the marketing language, and safer than the strongest commercial interpretation. Wpsy treats this as a public-interest requirement because psychology-related claims can shape decisions about education, employment, technology use, wellbeing programs, and professional services.
A reviewer applying this part of the standard should ask whether the applicant can show current documentation, responsible governance, safeguarding controls, conflict disclosure, and public communication language that ordinary readers can understand. Evidence may include product claim matrices, safety protocols, privacy documentation, user-risk classification, model update logs, evaluation summaries, adverse-event procedures, bias monitoring notes, and user communication screens, but the reviewer should also examine whether the evidence actually supports the claim being made.
The principal risk is not the absence of impressive language; it is the presence of language that outruns reality. The risks include unvalidated therapeutic claims, unsafe automation, crisis misdirection, sensitive data misuse, opaque model behaviour, bias, over-reliance, and substitution for licensed care. The standard therefore favours proportionate statements, traceable records, renewal dates, correction routes, and the ability to withhold or withdraw recognition when a claim cannot be supported.
Institutional markers
- Define the claim, activity, audience, and exclusion before reviewing conformity.
- Map evidence to criteria instead of treating volume of documents as quality.
- Require safeguarding, privacy, disclosure, and correction routes where public risk exists.
- Limit public claims to the specific scope that the standard can support.
- Review renewal evidence before allowing a record to remain current.
Frequently Asked Questions
Frequently Asked Questions establishes how Wpsy Digital Mental Health Tool Standard should be interpreted as a normative Wpsy document. The standard is not written as a slogan or a marketing badge; it is a conformity framework that translates psychological knowledge into reviewable expectations, evidence categories, decision rules, and renewal obligations.
For the domain of digital mental health tools, AI-supported psychology applications, human oversight, privacy, safety escalation, evidence claims, and algorithmic accountability, the central discipline is to make the claim narrower than the evidence, clearer than the marketing language, and safer than the strongest commercial interpretation. Wpsy treats this as a public-interest requirement because psychology-related claims can shape decisions about education, employment, technology use, wellbeing programs, and professional services.
A reviewer applying this part of the standard should ask whether the applicant can show current documentation, responsible governance, safeguarding controls, conflict disclosure, and public communication language that ordinary readers can understand. Evidence may include product claim matrices, safety protocols, privacy documentation, user-risk classification, model update logs, evaluation summaries, adverse-event procedures, bias monitoring notes, and user communication screens, but the reviewer should also examine whether the evidence actually supports the claim being made.
The principal risk is not the absence of impressive language; it is the presence of language that outruns reality. The risks include unvalidated therapeutic claims, unsafe automation, crisis misdirection, sensitive data misuse, opaque model behaviour, bias, over-reliance, and substitution for licensed care. The standard therefore favours proportionate statements, traceable records, renewal dates, correction routes, and the ability to withhold or withdraw recognition when a claim cannot be supported.
Institutional markers
- Define the claim, activity, audience, and exclusion before reviewing conformity.
- Map evidence to criteria instead of treating volume of documents as quality.
- Require safeguarding, privacy, disclosure, and correction routes where public risk exists.
- Limit public claims to the specific scope that the standard can support.
- Review renewal evidence before allowing a record to remain current.
Implementation and Certification Pathways
Implementation and Certification Pathways establishes how Wpsy Digital Mental Health Tool Standard should be interpreted as a normative Wpsy document. The standard is not written as a slogan or a marketing badge; it is a conformity framework that translates psychological knowledge into reviewable expectations, evidence categories, decision rules, and renewal obligations.
For the domain of digital mental health tools, AI-supported psychology applications, human oversight, privacy, safety escalation, evidence claims, and algorithmic accountability, the central discipline is to make the claim narrower than the evidence, clearer than the marketing language, and safer than the strongest commercial interpretation. Wpsy treats this as a public-interest requirement because psychology-related claims can shape decisions about education, employment, technology use, wellbeing programs, and professional services.
A reviewer applying this part of the standard should ask whether the applicant can show current documentation, responsible governance, safeguarding controls, conflict disclosure, and public communication language that ordinary readers can understand. Evidence may include product claim matrices, safety protocols, privacy documentation, user-risk classification, model update logs, evaluation summaries, adverse-event procedures, bias monitoring notes, and user communication screens, but the reviewer should also examine whether the evidence actually supports the claim being made.
The principal risk is not the absence of impressive language; it is the presence of language that outruns reality. The risks include unvalidated therapeutic claims, unsafe automation, crisis misdirection, sensitive data misuse, opaque model behaviour, bias, over-reliance, and substitution for licensed care. The standard therefore favours proportionate statements, traceable records, renewal dates, correction routes, and the ability to withhold or withdraw recognition when a claim cannot be supported.
Institutional markers
- Define the claim, activity, audience, and exclusion before reviewing conformity.
- Map evidence to criteria instead of treating volume of documents as quality.
- Require safeguarding, privacy, disclosure, and correction routes where public risk exists.
- Limit public claims to the specific scope that the standard can support.
- Review renewal evidence before allowing a record to remain current.
Connected Wpsy Pathways
Readers who want to act on this material can move through the Wpsy operating loop. Standards explain expectations. Certification and review pathways evaluate documentation. Membership supports professional development. Directory records communicate reviewed categories. Reports and briefings provide institutional intelligence. Events convene serious audiences. Awards recognize responsible practice. Resources help teams prepare evidence files and improve implementation.