Protect systems and users
Do not commit secrets. Avoid unnecessary permissions. Use safe authentication patterns and document data flows.
Policies
ET617 teams must treat security, ethics, accessibility, responsible AI, academic integrity, IPR, and data protection awareness as project requirements.
Do not commit secrets. Avoid unnecessary permissions. Use safe authentication patterns and document data flows.
Be transparent about intended use, limitations, feedback collection, and potential harms.
Use semantic HTML, readable contrast, keyboard access, clear labels, and inclusive content decisions.
Disclose AI-assisted work where required, validate generated outputs, avoid overclaiming, and protect user data.
Attribute code, media, text, datasets, prompts, and external libraries. Unauthorized copying is not acceptable.
Discuss licensing, reuse, client expectations, open-source plans, and repository visibility before handover.
Teams should be aware of India’s Digital Personal Data Protection context when projects involve personal data.
Collect the minimum data needed, explain why it is needed, restrict access, avoid exposing student or learner information, and consult instructors before using real personal data.