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A knowledge graph represented as LinkML instance data

This folder contains YAML files with data about concrete instances of the AI risk ontology. Some of these files have been generated using some tooling as described in the src\ai_atlas_nexus\ai_risk_ontology\util folder.

For more information about LinkML data instances see the LinkML documentation.

  • ai_commons_data.yaml: Some basic common definitions like licenses, modalities or AI tasks that are used by AI models and AI risks alike

Resources

File name Type Description
risk_atlas_data.yaml RiskTaxonomy The IBM risk atlas taxonomy
granite_guardian_dimensions.yaml RiskTaxonomy Risk dimensions as covered by the IBM Granite Guardian models
nist_ai_rmf_data.yaml RiskTaxonomy The NIST AI Risk Management Framework risk taxonomy
nist_ai_rmf_actions_data.yaml Actions The NIST AI Risk Management Framework risk related actions
owasp_llm_2.0_data.yaml RiskTaxonomy The OWASP Top 10 for Large Language Model Applications version 2 risk definitions.
mit_ai_risk_repository_data.yaml RiskTaxonomy The MIT AI Risk Repository risk taxonomy
ailuminate.yaml RiskTaxonomy The AILuminate benchmark risk taxonomy
credo.yaml RiskTaxonomy the Unified Control Framework from Credo
shieldgemma_dimensions.yaml RiskTaxonomy ShieldGemma Safety Categories for content moderation
shieldgemma_models.yaml AiModels ShieldGemma AI Models
ibm_capabilities_data.yaml AICapabilitiesTaxonomy The IBM risk atlas taxonomy
principles_australia.yaml Principles Australia's AI Ethics Principles
principles_un.yaml Principles Principles for the ethical use of artificial intelligence in the United Nations system
principles_oecd.yaml Principles OECD AI Principles
principles_ibm_trust.yaml Principles IBM's Principles for Trust and Transparency
mit_ai_risk_mitigation_data.yaml RiskControlTaxonomy MIT AI Risk Mitigation Taxonomy
mit_ai_risk_repository_data_controls.yaml RiskControls Controls categorised by MIT AI Risk Mitigation Taxonomy
datasets.yaml Datasets A collection of datasets that are used for AI model training
ai_eval_data.yaml AIEvals A collection of AI model evaluation methods, e.g. to evaluate the toxicity of an AI model
ibm_granite_3_instruct_data.yaml AIModels A collection of IBM Granite 3.0 instruct models including results of some model evaluations performed