AI Trust & Safety

Our approach

Skillama delivers AI-powered learning with multiple layers of oversight around the AI system. Every AI feature on the platform — the AI Tutor, AI Mentor, quizzes, and code assistance — operates inside a governed, monitored environment designed to keep learner data private and AI behavior trustworthy.

Learner data privacy & PII protection

Learner data is maintained separately within our systems, and personally identifiable information is hidden from AI models — your personal details are not exposed as part of AI interactions. Authentication credentials are protected through encryption.

Controlled access & cloud security

Access to production data is strictly limited to authorized personnel under a controlled access model. The platform runs on AWS infrastructure with IAM and role-based access controls governing every layer of the cloud environment.

Grounded, course-aware AI

AI Tutor responses are grounded in course-specific learning material through retrieval technology, so answers draw on relevant course context rather than relying solely on general model knowledge. This improves relevance and reduces the risk of inappropriate or unrelated responses. Learners never get unrestricted model access — AI behavior is controlled at the application level through course context, retrieval mechanisms, and service-level workflows.

Human oversight

AI-generated learning content goes through human review and validation before it is made available to learners, ensuring content quality, relevance, and alignment with learning objectives. We follow a human-in-the-loop approach for the creation and release of every AI-powered learning experience.

Continuous monitoring

AI-human interactions across the platform — tutor conversations, mentor activity, quizzes, and AI resource consumption — are monitored at both the individual and platform level. Errors and reported issues are logged and reviewed by our team for follow-up.

Learner feedback & issue resolution

Learners can rate AI answers and report incorrect or problematic responses through a dedicated Report Issue mechanism, with issue types, descriptions, and attachments. Our team reviews every report and raises the relevant technical follow-up where required.

Transparency

Learners have full visibility into their own learning activity — questions asked, quizzes completed, course progress, and usage metrics — creating transparency around how the AI-enabled learning experience is being used and how they are progressing.