Faculty Responsibility
Instructors and authorized academic leaders remain accountable for teaching, progression, remediation, assessment interpretation and release decisions.

RESPONSIBLE USE BY DESIGN
Crucifer uses technology to improve explanation, practice, evaluation and knowledge production without removing human responsibility or treating learner data as an unrestricted development resource.
Instructors and authorized academic leaders remain accountable for teaching, progression, remediation, assessment interpretation and release decisions.
AI may assist with visualization, practice, question variation, teach-back and workflow efficiency; it does not replace accountable academic judgment.
Admissions, scholarships, progression, certification and disciplinary outcomes are not released solely on the basis of an unreviewed automated output.
Material decisions are supported by documented criteria, review routes and appropriate human escalation.
Systems are reviewed for avoidable bias, inappropriate barriers and reasonable accommodation requirements without weakening essential competency standards.

Collect and use data only for communicated educational, support, security, research or opportunity-related purposes.
Use consent, contract, legal obligation, legitimate interest or another applicable basis as required by the processing context and jurisdiction.
Collect only the information reasonably required for the stated purpose and access it through role-based controls.
Where learning patterns are studied, use de-identified or aggregated information wherever reasonably possible and protect against re-identification.
Learner or customer content is not used to train a shared external model unless separately authorized, legally supported and governed through defined controls.
Graduate information is shared for a WITT opportunity only when the candidate is eligible, appropriately informed and has consented to that use.
Retain information only for the approved purpose and applicable period, then delete or anonymize it under the relevant policy and legal requirements.

PAWS development may use curriculum, scripts, assessment structures and other learning assets only where Crucifer has the right and authority to use them.
Learning insight may inform design only through an approved research or product-development purpose with appropriate minimization, de-identification, security and oversight.
Enrolment in the Academy does not itself authorize unrestricted use of a learner's identity, voice, likeness, private work or personal data for model training.
Any materially different use is described through the applicable privacy notice, consent process, research protocol or customer agreement before it occurs.
Source materials must be approved for use by Crucifer, the customer or the relevant rights holder.
Qualified reviewers check factual accuracy, sequence, suitability and release readiness.
A person's voice, image or likeness is used only with explicit, auditable authorization.
Outputs retain appropriate source, version, reviewer and approval records.
Generated or synthetic media uses appropriate provenance, watermarking or contextual disclosure.
Controls address unauthorized impersonation, prohibited content, unapproved reuse and access outside the permitted purpose.
Access control, authentication, environment separation, monitoring, incident response and deletion controls are applied according to the information and system risk.
Learners, customers and partners can request clarification on how their information is used.
Privacy, responsible-AI, accessibility and academic concerns can be submitted through defined review and escalation channels.
AI supports explanation, practice and workflow efficiency; faculty remain accountable for teaching, progression, remediation and award decisions.
Candidate information is used for a defined opportunity, shared with appropriate consent and not sold or reused as a general recruitment database.
Development uses approved knowledge assets and appropriately governed information; learner enrolment is not blanket permission for model training.
Future enterprise work is governed by the agreed scope, customer controls, security requirements and enterprise-ownership framework.
PRINCIPLE: Capability does not create permission. Data, content, voice, likeness and opportunity access remain governed by purpose, authorization and accountable review.