ETHICAL AI

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 AND TRUSTWORTHY AI

ETHICAL & UNBIASED AI

Ethical AI is structured around principles such as fairness and algorithmic bias.

robust and traceable AI

ROBUST & TRANSPARENT AI

Full traceability of all data and model events is secured across the platform.

full set of Governance requirements for data and AI model development

EXPLAINABLE AI

Before everything else, ethical AI is human-centered. So besides model performance, it ensures explainable AI models.

Verifiable Transparency

The core behind 2021.AI Ethical AI technological approach is metadata and meta events. Offering full transparency, with verifiable proof – reports and audits.

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METADATA / METAEVENT

 Immutably logging of everything that happens in the AI model lifecycle, from data ingest to final operation of the model in production.

EXPLAINABILITY

We run different checks to make sure explainability requirements have been meet and make sure they have been taken under consideration.

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VALIDATIONS AND CERTIFICATIONS

Validations and certifications are the way to ensure legislations have been followed before model can be deployed.

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TRANSPARENCY

Validating that for example a bias or anonymization test or process have  executed in the AI development process.

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REPORTING

Reports offer an easy export solutions for stakeholders to validate and audit exceptions.

AUDITS

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.

AI Governance - Action Tracking

Action tracking

Advanced metadata and meta-event tracking-technology tracking all events.

Grace AI Governance - Dashboarding

Dashboarding

Configurable dashboard to monitor workflows, models, IT infrastructure and more.

AI Governance - Dashboarding
Grace AI Governance - Relationships
AI Governance - Relationships between events

Relationships

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.

Grace AI Governance

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