Artificial Intelligence Tip Sheet
Revision as of 14:09, 24 September 2025 by Muhammedali.khan (talk | contribs)
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.