AI Governance

Become a leader in AI Governance by letting us assist you to effectively address the challenges of managing a multitude of guidelines and regulations for Data and AI.

Governance, Risk & Compliance for AI

Grace offers comprehensive support for responsible AI implementations.

Our top priority is to ease our clients’ compliance burden from the growing number of external guidelines and regulations and new internal compliance policies. The Grace Enterprise AI platform is the first of its kind to offer comprehensive Governance, Risk & Compliance (GRC) support for AI. Grace enables your organization to scale AI implementation in compliance with external regulations, and internal guidelines and policies.

When it comes to AI, the real risk of the future is to understand consequences; to understand the impact of what we are doing.

Danny Lange

Danny Lange
Board member and Shareholder, 2021.AI

Governance in Grace

Rules & Rule Sets

Compliance managers collaborate with data scientists and IT to define, apply and monitor a project’s standard set of requirements.

Governance in Grace

Impact Assessments

Build and implement thorough impact assessments for the responsible deployment of AI models.

Governance in Grace

Risk Management

Clear reporting throughout development and deployment of your models for all stakeholders.

Governance in Grace

Model Audit & Reporting

Easy internal and external auditing to guarantee guidelines have been followed in the AI development process.

Governance in Grace

Model Certification

Confidently certify that your model follows rules, guidelines and safe model deployment procedures.


Governance in Grace

Rules & Rule Sets

Compliance managers collaborate with data scientists and IT to define, apply and monitor a project’s standard set of requirements.


Governance in Grace

Impact Assessments

Build and implement thorough impact assessments for the responsible deployment of AI models.


Governance in Grace

Risk Management

Clear reporting throughout development and deployment of your models for all stakeholders.


Governance in Grace

Model Audit & Reporting

Easy internal and external auditing to guarantee guidelines have been followed in the AI development process.


Governance in Grace

Model Certification

Confidently certify that your model follows rules, guidelines and safe model deployment procedures.

Proactive and collaborative Risk Management for AI

Organizations can ensure proactive and collaborative risk management spanning across all stakeholders and functional areas. With a continuous feedback loop, the implementation of AI is easily tracked and monitored. Define, Implement, Operate, and Verify is a continuous cycle that needs to be monitored and updated regularly.

Define

Decide on the standards that the organization will be compliant with now and in the future, as risk management will be dynamic and working within a changing landscape. In addition to defining rules, it is essential to determine the process for developing and implementing AI projects across the organization.

Implement

The risk management for AI framework that was previously defined must be applied to AI projects, models, and solutions. As new AI is implemented, it is important to assess each project’s risk and priorities within the context of the organization.

Verify

Depending on the regulations and guidelines your organization has chosen to follow, you will have to verify that your AI project follows these as an important part of the accountability and audit of your AI projects.

Operate

Many AI models are continuously learning and adapting outputs to the changing surrounding environment. From a compliance perspective, this means it is not enough to certify the AI model once. You will have to monitor and certify every time it has been re-trained. Also, over time AI models will become less accurate.

Fairness

It is crucial that the AI in your organization neither create nor reinforce unfair bias. No individual or group of individuals should be disadvantaged due to an AI model without justification.

Explainability

Understanding how models work and where their results come from is a must when determining trustworthiness and reliability. An explainable approach to AI helps organizations make better, more informed decisions.

Accountability

Greater autonomy of AI solutions comes with the need for greater accountability by those implementing the automation. Accountability is the ability to explain and justify your results to those affected by the outcomes.

Transparency

Addressing transparency in AI projects will ensure a smoother development and deployment process. Proper documentation and understanding will drive positive results and reduce future headaches.

Support for a wide range of ethical measures 

With Grace, compliance managers can apply existing or new frameworks to enable collaborative risk management across all projects and models. This includes the Fairness, Ethics, Accountability, and Transparency (FEAT) framework of AI governance. Grace’s unique approach to governance allows your team to meet FEAT standards without requiring them to change their work style.

Are you up to date on AI regulations?

2021.AI delivers AI platform for the responsible use of disruptive technologies in the public sector

The enterprise AI company proudly participates in the ETAPAS project, delivering an AI platform to support the governed implementation of disruptive technologies in the EU’s public sector.

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The EU takes on Trustworthy AI with ALTAI

The AI HLEG presented the final Assessment List for Trustworthy Artificial Intelligence. 2021.AI is honored to be on the front lines of ethical innovation in the EU, contributing as one of 50 selected companies engaged in an open workstream to provide best practices for the ALTAI final development.

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Facial recognition technology: We must welcome regulations

When it comes to facial technology and its controversies, it is clear that something needs to be done. Applying facial recognition models to identify and track citizens and allowing apps that can recognize anyone ever to post a picture online is unacceptable. But can we keep this technology in check?

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Inspiring AI use cases

Velliv begins collaboration with 2021.AI to secure a leading position within AI governance

The pension fund, Velliv, has entered into a collaboration with 2021.AI to implement the EU’s Ethical Guidelines for Trustworthy AI model development on 2021.AI’s Grace Enterprise AI platform.

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Applying AI in the social services sector to improve quality and results

2021.AI supports the Swedish municipality, Norrtälje Kommun, in the implementation of Ethical and Transparent AI on the Grace Enterprise AI platform by combining Norrtälje’s internal guidelines and the EU’s Guidelines for Ethical and Trustworthy AI development.

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Want to learn more about AI governance?