This analysis describes what Google's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
This principle operationalizes Google's commitment to implementing accountability mechanisms within AI system design, requiring integration of feedback channels and explanation capabilities as standard features rather than optional add-ons. It establishes parity between AI tool governance and existing product governance frameworks across the organization.
Users of Google AI systems are entitled to opportunities to provide feedback on AI outputs, receive explanations of how AI systems reached their results, and access appeal processes to challenge AI decisions. These mechanisms are established as built-in features of the AI tools rather than external remedies.
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"Be accountable to people. We will design AI systems that provide appropriate opportunities for feedback, relevant explanations, and appeal. Our AI tools will be held to the same standards of quality, and subject to the same controls and policies, that we apply across our products and services.— Excerpt from Google's Google AI Principles
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This principle operationalizes Google's commitment to implementing accountability mechanisms within AI system design, requiring integration of feedback channels and explanation capabilities as standard features rather than optional add-ons. It establishes parity between AI tool governance and existing product governance frameworks across the organization.
Users of Google AI systems are entitled to opportunities to provide feedback on AI outputs, receive explanations of how AI systems reached their results, and access appeal processes to challenge AI decisions. These mechanisms are established as built-in features of the AI tools rather than external remedies.
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