Trust & Safety
CurricuLLM is independently audited and assessed for youth AI safety. We meet the highest standards of privacy, security, and responsible AI use in schools.
Certifications & Assessments
CurricuLLM has been independently verified by leading youth AI safety and education technology assessment bodies.
Apgard YouthSafe AI Certified
CurricuLLM has passed an independent AI safety audit by Apgard, covering content risks, behavioural risks, and red-team testing for youth-focused AI products. The YouthSafe certification demonstrates our product has been verified as safe for students.
ST4S Assessed
CurricuLLM has been assessed against the nationally consistent Safer Technologies 4 Schools (ST4S) security and privacy framework, developed by Education Services Australia for K-12 digital products across Australia and New Zealand.
Australian Framework for Generative AI in Schools
CurricuLLM is built to align with the Australian Government's framework for the responsible and ethical use of generative AI in schools. Here is how we meet each of the six guiding principles.
Teaching and Learning
CurricuLLM is aligned to the Australian and New Zealand curricula, enhancing instruction rather than replacing it. Our AI tutor guides learning through questioning and scaffolding, supporting academic integrity.
Human and Social Wellbeing
Content filtering and safety guardrails protect student wellbeing. The Safety Centre surfaces behavioural patterns for teacher follow-up. Our curriculum coverage promotes diverse perspectives and ensures AI is used in ways that benefit the whole school community.
Transparency
Schools have clear visibility into how AI is used. Usage dashboards show activity and progress at the school and class level, giving educators and leaders insight into AI-assisted learning without exposing private student conversations.
Fairness
CurricuLLM is accessible to all students regardless of background or ability. Our personalised tutoring adapts to individual learning levels, the platform works with screen readers and assistive technologies, and we actively monitor for bias in AI-generated content. See our approach to bias below.
Accountability
The Safety Centre surfaces behavioural patterns and safety signals for teacher follow-up, while usage dashboards give school leaders clear visibility into how AI is being used across the school.
Privacy, Security and Safety
Student data is never sold or used for advertising. Age-appropriate content guardrails and robust data protection keep students safe.
Bias
How CurricuLLM detects, mitigates, and responds to bias in AI-generated content.
Our approach
AI systems can reflect and amplify biases present in their training data. CurricuLLM takes this seriously. We use curriculum-grounded content as the primary knowledge source, which reduces the surface area for bias compared to general-purpose AI tools. Our AI tutor is designed to guide learning through questioning and scaffolding rather than presenting opinions, which further limits the pathways through which bias can manifest.
Controls
- •Content filters screen AI outputs for harmful, discriminatory, or stereotyping language before they reach students.
- •Curriculum alignment ensures responses are grounded in authoritative, reviewed educational content rather than unconstrained model generation.
- •The Safety Centre monitors for patterns that may indicate systematic bias across student interactions over time.
- •Bias incidents are classified and managed through our AI Incident Management Plan, with defined escalation and remediation procedures.
- •We conduct ongoing review of AI outputs across subjects, year levels, and demographics to identify emergent bias.
For teachers and students
If you notice CurricuLLM producing content that seems biased, stereotyping, or unfair toward any group, we want to know. Students can use the thumbs down button on any message to flag it. Teachers can report concerns to hello@curricullm.com. Critical evaluation of AI-generated content — including being alert to potential bias — is an important skill that we encourage both teachers and students to develop.
AI Incident Management
How CurricuLLM detects, responds to, and learns from AI-specific incidents.
What the plan covers
Our AI Incident Management Plan defines how CurricuLLM detects, contains, investigates, remediates, and recovers from AI-specific incidents — including security events, privacy breaches, bias manifestations, and harmful content generation. It is aligned to ISO/IEC 42001:2023, the Australian Privacy Act 1988, and the Online Safety Act 2021.
Key elements
- •Incident classification — four severity levels (Critical, High, Medium, Low) with defined response times, from 15-minute initial response for critical incidents to next-business-day for low-severity events.
- •Detection and reporting — automated monitoring of AI outputs, safety guardrail triggers, user-reported issues via thumbs feedback, and teacher/school escalation pathways.
- •Response phases — structured process covering identification, containment, investigation, remediation, recovery, and post-incident review.
- •School communication — defined escalation and notification procedures so schools are informed promptly when incidents affect their students or data.
- •Mandatory reporting — procedures for meeting obligations under the Notifiable Data Breaches scheme, eSafety Commissioner requirements, and other regulatory frameworks.
- •Continuous improvement — every incident triggers a post-incident review to strengthen controls and prevent recurrence.
Governance
The plan defines clear roles and responsibilities across the team, with the CEO holding ultimate accountability for incident response and serving as the regulatory liaison. Dedicated roles cover AI technical investigation, child safety assessment, and privacy impact evaluation.
The full AI Incident Management Plan is available to schools and customers on request. Contact hello@curricullm.com to request a copy.