Data and Model Assessment & Governance
The CognitiveScale Cortex AI Platform answers four key questions to detect and remediate risk and bias and enable Governance of AI Applications across the enterprise.
The CognitiveScale Cortex AI Platform provides explainability, fairness, robustness, and compliance to your applications—the anchors of trustworthy Artificial Intelligence.
The CognitiveScale Cortex AI Platform answers four key questions to detect and remediate risk and bias and enable Governance of AI Applications across the enterprise.
The CognitiveScale Cortex AI Platform automates Data and Model vulnerability detection and creates black-box transparency. It explains decisions from predictive models, uncovers bias and finds weaknesses in the data.
The CognitiveScale Cortex AI Platform generates a numeric score based on 6 key elements of trust: fairness / bias, robustness, explainability, accuracy, compliance, and data quality. Our AI Trust Index allows you to compare your model to industry benchmarks.
Engage key stakeholders in building trusted AI with role-based reporting.
Ensure AI systems and models are continually generating optimal business value
Enable human users to interpret, understand, and explain machine generated predictions
Uncover data drifts, detect data poisoning, and ensure data validity and fit
Uncover bias in the underlying data types, data sets, ML model, and AI development process
Align AI development to be in line with current and emerging local and global regulations
Detect adversarial attacks that disrupt or alter long term model performance
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