Business value with governed data and ethical AI
The new challenges for everyone who wants to get started with AI are the Guidelines and Regulations on Data- and AI Ethics, that are being implemented across the globe.
ETHICAL & UNBIASED AI
Ethical AI is structured around principles such as fairness and algorithmic bias.
ROBUST & TRANSPARENT AI
Full traceability of all data and model events is secured across the platform.
Before everything else, ethical AI is human-centered. So besides model performance, it ensures explainable AI models.
The core behind 2021.AI Ethical AI technological approach is metadata and meta events. Offering full transparency, with verifiable proof – reports and audits.
METADATA / METAEVENT
Immutably logging of everything that happens in the AI model lifecycle, from data ingest to final operation of the model in production.
We run different checks to make sure explainability requirements have been meet and make sure they have been taken under consideration.
VALIDATIONS AND CERTIFICATIONS
Validations and certifications are the way to ensure legislations have been followed before model can be deployed.
Validating that for example a bias or anonymization test or process have executed in the AI development process.
Reports offer an easy export solutions for stakeholders to validate and audit exceptions.
The final frontier of legislator’s ability to verify that AI has been developed, deployed, and operated in compliance with the regulation.
Ethical AI in the Grace Platform
The process of AI model Development, Deployment and Operation including comprehensive reporting to external and internal stakeholders to support governance of AI models in real-time and delivering ad-hoc information to IT and Business.
Advanced metadata and meta-event tracking-technology tracking all events.
Configurable dashboard to monitor workflows, models, IT infrastructure and more.
Detailed analysis of the relationship between all events.
Grace Data and AI Governance
The process of AI model Development, Deployment and Operation will include comprehensive reporting to external and internal stakeholders across the organization to support Governance approvals, monitoring of AI models in real-time and delivering ad-hoc information to IT and Business.
Get in touch
Ready to transform your business and take AI into production?