AI Ethics and Responsible AI at VSET

Yes — through GGSIPU-mandated papers on Professional Ethics, Human Values, and the ethical frontiers of IT that every B.Tech CSE / AI student takes, plus applied Responsible-AI topics (bias, fairness, privacy, model safety) woven into the core AI & ML and AI & DS tracks.

Yes. Student teams in the AICTE IDEA Lab regularly work on bias-auditing, explainability (SHAP/LIME), differential privacy experiments, and safety evaluation of open-weights models — often as final-year or summer projects.

VSET is one of the few GGSIPU-affiliated private engineering schools actively branding itself as AI-leading, which includes taking Responsible-AI seriously beyond the mandatory ethics papers. The IDEA Lab and Quantum Research Lab both host applied safety and privacy work.

Algorithmic fairness and bias testing, model interpretability, privacy (differential privacy, PII protection), prompt-injection and jailbreak defence for LLM apps, data governance, and the GGSIPU-mandated human-values / professional-ethics content.