From the course: Foundations of Responsible AI
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Documentation that builds trust
From the course: Foundations of Responsible AI
Documentation that builds trust
- Documentation is more than a record of what was built. It's a part of how systems earn trust within teams, across functions, and particularly with external stakeholders. Good documentation allows others to understand how decisions were made, what assumptions were tested, and where risks were identified and mitigated. And without it, even well-designed systems become harder to evaluate and maintain over time. This video focuses on documentation as a core engineering practice and a part of responsible AI. There are a number of areas where clear, good documentation makes a difference. Starting with model cards or system data sheets, these provide a structured summary of a model's purpose, its training data, its known limitations, and its intended use cases. They help downstream users within your organization or outside understand where the model expected to perform well and where caution is warranted. Then, decision logs. During development, teams make judgment calls all the time on…
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