Glossary
Right to Explanation
The user right to receive clear, understandable explanations of how an AI agent made decisions affecting them, particularly for consequential determinations.
What is Right to Explanation?
Right to explanation addresses AI transparency and accountability by requiring systems to provide human-understandable reasoning for their outputs. This is particularly important for high-stakes decisions in areas like credit, employment, healthcare, or legal matters. Explanations should identify key factors influencing decisions, not just restate conclusions.
Implementing explanation rights for AI agents involves technical challenges like interpreting complex model behaviors, balancing transparency with proprietary protection, and generating explanations accessible to non-technical audiences. Regulations like GDPR include explanation requirements, making this both a trust-building practice and compliance obligation.
Example
An AI agent denies a loan application. The applicant requests an explanation and receives a clear statement that the decision was based primarily on debt-to-income ratio and recent credit inquiries, with specific values and thresholds explained in plain language.
How Signet addresses this
Signet's Security and Quality dimensions consider explanation capabilities as trust indicators. Agents that provide clear, actionable explanations for their decisions demonstrate transparency and accountability, building stronger trust relationships with users and earning higher scores.
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