AI and the Decline of Professionalism Among Nepalese Engineers

Introduction

AI is becoming part of engineering work, from drafting reports to checking data, generating code, and supporting design analysis. Used well, it can save time. Used carelessly, it can make weak professional habits even worse.

For Nepalese engineers, the real question is not whether AI should be used. The question is how to use AI without losing accountability.

AI Can Support Engineering Work

AI tools can help engineers summarize documents, compare options, automate repetitive tasks, prepare early drafts, and explore design ideas. For students, AI can explain concepts, generate practice questions, and support revision.

These are useful benefits. But they do not replace technical understanding.

The Risk of Blind Trust

Engineering decisions affect safety, cost, and public life. If an engineer copies an AI-generated answer without checking units, assumptions, codes, site conditions, or data quality, the tool becomes a liability.

Common risks include:

• Wrong calculations that look confident
• Missing local standards or NEC expectations
• Weak documentation of design decisions
• Overdependence on shortcuts
• Reduced confidence in doing manual checks

Professionalism Still Belongs to the Engineer

AI cannot sign responsibility for a bridge, a building, a power system, or a software system. The engineer remains responsible for verifying work, explaining decisions, and protecting public interest.

That means every AI-assisted output should be reviewed like a junior assistant's draft: useful, but not final until checked.

What Responsible AI Use Looks Like

Engineers and students can build better habits by following a simple process:

1. Define the problem clearly before asking AI.
2. Provide context, constraints, and known standards.
3. Check the answer against textbooks, codes, and calculations.
4. Document where AI was used and what was verified.
5. Ask a qualified person when the decision affects safety.

What Institutions Should Teach

Engineering colleges and training centers should teach AI literacy along with ethics. Students need to understand bias, hallucination, data privacy, and verification. They should also practise explaining why an answer is correct, not only producing an answer quickly.

"Professionalism is not just skill. It is responsibility." - MR. DAVID KUMAL

Final Thought

AI can make good engineers faster, but it can also make careless engineers more dangerous. Nepal needs professionals who use modern tools with old-fashioned accountability: check the work, document the method, and protect the public.