Implement real-time input filtering
Implement real-time input filtering using automated moderation tools
Control activities
Integrating automated moderation tools to scan user inputs for violations of content policies such as violence, hate, or self-harm. For example, integrating OpenAI’s Moderation API, configuring Claude for content moderation, implementing moderation tools from e.g. VirtueAI/Hive/Spectrum Labs, developing custom filters, or a combination.
Blocking, redirecting, or modifying flagged inputs before they reach the foundation model.
Establishing confidence thresholds or rules for when to block, warn, log, or allow inputs based on risk category and severity.
Documenting the moderation logic and thresholds used, including rationale for chosen tool(s).
Providing feedback to users when inputs are blocked.
Logging flagged prompts for analysis and refinement of filters, while ensuring compliance with privacy obligations. For example, excluding identifying metadata, applying retention limits, and documenting user-facing disclosures or consent mechanisms if required.
Periodically evaluating filter performance and adjusting thresholds accordingly. For example, accuracy, latency, false positives/negatives.
Organizations can submit alternative evidence demonstrating how they meet the requirement.
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