Engineering capstone team using an AI assistant while building and testing a robotic prototype
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Using Generative AI in Senior Design? Follow These 7 Rules

AI can speed up exploration, code and documentation. Your team still owns every engineering decision and result.

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1. Explore, Don't Outsource

Ask AI for design alternatives, then compare them against requirements, constraints, risks and trade-offs before choosing.

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2. Verify Equations and Units

Re-derive critical steps, check dimensions, inspect assumptions and test boundary cases. A confident AI answer can still be wrong.

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3. Test Every Line of Code

Run unit tests, compare with a baseline, inspect edge cases and reproduce the output. Working once is not validation.

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4. Check Specs and Standards

Verify components, ratings, tolerances and safety rules in official datasheets and applicable standards—not an AI summary.

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5. Keep an AI Decision Log

Record prompts, useful outputs, rejected suggestions, human edits, tests and final decisions so your process remains explainable.

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6. Protect Project Data

Follow your university's policy. Do not upload confidential research, sponsor data, personal information or restricted designs without permission.

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7. Defend the Trade-offs

Be ready to explain why the design works, how you tested it, where it can fail and why you rejected the alternatives.

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AI Assists. Engineers Decide.

ABET's 2026–27 criteria still center design, standards, constraints, experimentation, communication, ethics and engineering judgment.

Read the Engineering AI Guide