Technical education depends on work that can be trusted. SJIT expects students, instructors, researchers, and academic collaborators to represent their work, evidence, sources, and contributions honestly.
Academic work should accurately represent who produced it, what sources or tools contributed to it, what evidence supports it, and which parts are original, collaborative, adapted, quoted, generated, or externally assisted. The standard is not simply to avoid plagiarism; it is to make intellectual responsibility visible.
AI tools may be useful for learning, experimentation, drafting, coding, analysis, and research, but acceptable use depends on the purpose of the activity. An instructor or program may permit, limit, require disclosure of, or prohibit particular uses. When AI materially contributes to submitted work, students should follow the disclosure and attribution expectations established for that activity.
Security education may involve offensive techniques, vulnerability analysis, reverse engineering, adversarial testing, or other dual-use capabilities. Academic authorization does not create permission to target systems, accounts, networks, data, or organizations outside the scope of the assigned environment. Students remain responsible for respecting authorization, law, program rules, and professional boundaries.
Suspected integrity violations may be reviewed using the evidence available for the activity. Outcomes can range from guidance or reassessment to loss of credit, failure of an activity, removal from a program, or other institutional action, depending on severity, intent, recurrence, and the rules of the specific offering.
Students should ask instructors or program leadership when an integrity rule is unclear before submitting work. Where a formal adverse academic decision is made, the applicable program should communicate the available review or appeal path, if any, together with relevant deadlines.