Use AI responsibly

Protect sensitive information, account for bias, and evaluate AI-generated work.

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Review risks as part of the workflow

AI-assisted work brings risks that need attention throughout development:

• Security: test applications and generated code for vulnerabilities before release.
• Bias and harmful output: review results for unfair or harmful content and add appropriate safeguards.
• Data integrity: check AI outputs against reliable inputs and correct errors.
• Privacy and transparency: understand how cloud AI services handle proprietary or sensitive information, and keep appropriate control over what is shared.

Evaluate the output rather than assuming it is correct. Learning from mistakes and updating the process are part of responsible use.

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