Framework for explaining AI decisions to non-technical stakeholders
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The AI Explainability Canvas is listed as a transparency tool and framework designed to help explain AI decisions to non-technical stakeholders. It is hosted on the People + AI Research (PAIR) website at Google.
The specific resource page for the AI Explainability Canvas could not be accessed during documentation. The primary PAIR website confirms that PAIR maintains a collection of interactive explorables and tools focused on making machine learning more understandable and trustworthy, but detailed information about this particular resource's features and functionality could not be verified from available sources.
The AI Explainability Canvas is part of People + AI Research (PAIR), a multidisciplinary team at Google that conducts fundamental research, builds tools, and creates design frameworks focused on the human side of AI. PAIR's work emphasizes participatory approaches to machine learning that involve affected communities and diverse stakeholders including policy-makers, activists, and artists.
PAIR offers complementary resources that may provide context:
The resource can be accessed through the PAIR website at https://pair.withgoogle.com/. Users can navigate to the Explorables section or Tools section from the main site.
Based on the description, the AI Explainability Canvas is intended for communicating AI system decisions to non-technical stakeholders, suggesting it serves practitioners, communicators, and organizations seeking to improve AI transparency and stakeholder understanding.
Note: For complete and current information about specific features, use cases, and implementation details, visit the PAIR website directly or contact the PAIR team at .
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