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Artificial Intelligence Tip Sheet (view source)
Revision as of 14:09, 24 September 2025
, Yesterday at 14:09no edit summary
This guide outlines key responsibilities for public servants using AI in any policy, program, or service. It is grounded in federal directives, standards, and legislation, with a focus on identifying and removing bias and barriers.
This guide outlines key responsibilities for public servants using AI in any policy, program, or service. It is grounded in federal directives, standards, and legislation, with a focus on identifying and removing bias and barriers.
=== Core Principles for Responsible AI ===
Every public servant involved with an AI project must understand and apply these foundational principles:
* Human Oversight: A human must always have the final say in decisions that impact a person's rights or well-being.
* Fairness by Design: Equity is not an add-on or a nice to have. Legal considerations require users to proactively identify, challenge, and mitigate bias at every stage.
* Data Integrity: The quality and fairness of AI systems depend entirely on the quality and fairness of the data it's trained on.
* Accountability & Redress: Clear mechanisms must exist for people to challenge AI-driven decisions and seek recourse.