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cff-version: 1.2.0
message: "If you use this software, please cite it as below."
type: software
title: "RAIL Score Python SDK"
abstract: "Official Python SDK for RAIL Score API - Evaluate and generate responsible AI content across 8 dimensions: Safety, Privacy, Fairness, Transparency, Accountability, Reliability, Legal Compliance, and User Impact."
authors:
- family-names: "Responsible AI Labs"
email: research@responsibleailabs.ai
website: https://responsibleailabs.ai
repository-code: "https://github.com/Responsible-AI-Labs/rail-score"
url: "https://responsibleailabs.ai"
license: MIT
version: 1.0.1
date-released: 2025-11-04
keywords:
- responsible-ai
- rail-score
- ai-evaluation
- ai-safety
- ai-ethics
- compliance
- gdpr
- hipaa
- ccpa
- eu-ai-act
- content-moderation
- rag-evaluation
- hallucination-detection
- fairness
- transparency
- accountability
- privacy
references:
- type: article
authors:
- family-names: "Verma"
given-names: "Sumit"
title: "RAIL in the Wild: Operationalizing Responsible AI Evaluation Using Anthropic's Value Dataset"
year: 2025
url: "https://arxiv.org/abs/2505.00204"
journal: "arXiv preprint"
notes: "Foundation research paper for RAIL framework"
preferred-citation:
type: software
authors:
- family-names: "Responsible AI Labs"
email: support@responsibleailabs.ai
title: "RAIL Score Python SDK"
version: 1.0.1
year: 2025
url: "https://github.com/Responsible-AI-Labs/rail-score"