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Calvin Risk Platform
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LLM Assessment
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LLM Accountability and Safety

Promote responsible AI and avoid harm

Technical and business ownership of AI models must be clear. Data sources must be documented and secure. Fallbacks and controls must be defined.

Test approach

Calculate accountability and safety scores through a compact self-assessment following ISO standards.

Accountability

Rate and document your maturity with respect to governance, data management, performance goals, and monitoring.

Safety

Rate and document your maturity with respect to human control, fallback measures, and control measures.

Related Features

 LLM Performance and Robustness

Assure correctness and reliability as part of your launch plan.

Learn more

LLM Fairness and Explainability

Detect bias and hallucinations.

Learn more

Additional Resources

Blog: Decoding LLM Risks

Decoding LLM Risks: A Comprehensive Look at Unauthorized Code Execution

Blog: Large Language Models (LLMS) in Customer Support Chatbots

Large Language Models (LLMS) in Customer Support Chatbots

Infographic: Visual Guide to LLM Concepts

Visual Guide to LLM Concepts

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Managing the risks of your AI algorithms since 2022.

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