Social-technical Systems

Socio-technical systems recognize that AI exists within human, organizational, and technical environments. ModelOp provides centralized governance to manage risk and ensure responsible AI adoption across these intersecting domains.

All Terms
AI Governance
AI Lifecycle Automation
AI Policy
AI Risk
AI Use Case
AI/ML Operationalization
AIMS
Abstraction
Alerting Rules
Asset
Attestation
Audit Trail
Automated Model Validation
Autonomous System
Bias
Black Box AI
Brand Risk
CI/CD for Models
Capability Maturity Assessment
Champion-Challenger Testing
Conformity Assessment
Containerization
Data Drift
Data Scientist
DataOps
Deployment
DevOps
EU Act
Enterprise AI
Enterprise AI Architect
Explainability
Fairness
Foundational Model
ITOps
Inferences
Interpretability
LOB Analyst
LOB Executive
Lineage
Machine Learning
Model
Model Card
Model Debt
Model Decay
Model Drift
Model Governance
Model Inventory
Model Lifecycle Management
ModelOps
ModelOps Engineer
Operational Assurance
Operationalization
Predictions
Predictive Models
Production Setting
Programmatic RAI Assessments
Schema
Shadow AI
Social-technical Systems
Technical Evidence
Throughput
Training
Transparency