Decoding the EU AI Act: Establishing a Quality Management System (QMS) for High-Risk AI Systems
PROUD TO WORK AND ENGAGE WITH:
Identify Bias and Improve AI Reliability
Monitor (Every)-Anything
You Want
Turn anything into an observable attribute in your production AI systems and monitor its influence on AI outputs over time. Choose Palqee prisma to identify attributes relevant to your use case or set them yourself.
Observe Behavioural Change and its Causes
Identify tendencies of unwanted behavior early and understand their causes in GenAI and ML models. Contextualize your observed attributes for a socio-technical analysis and ensure performance across different environments.
Compare Attribute Influence across Model Versions, Accounts, Locations and More
Create monitoring 'expeditions' and define their scope. Compare the impact of subtle attributes, like language proficiency, across different locations, accounts, and versions of your AI.
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Step-by-step guide
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Checklist
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Policies and Procedures matrix
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Applicability for High-Risk, Limited-Risk and Low-Risk AI Systems
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Cross-references to ISO27001 controls and GDPR articles.