Navigate the complexities of digital transformation while upholding trustworthy and responsible standards 

DNV´s recommended practices (RPs) for digital trust serves as robust governance frameworks and provide guidance for the procurement, development and operation of AI and other digital technologies. 

Our RPs have been established based on decades of experience, research, and expert knowledge. They are developed in close collaboration with the energy industry and validated through a global hearing process prior to publication. 

Assurance of AI-enabled systems (DNV-RP-0671)

Assurance of AI-enabled systems (DNV-RP-0671)

Machine learning applications (DNV-RP-0665)

Machine learning applications (DNV-RP-0665)

Data-driven applications (DNV-RP-0510)

Data-driven applications (DNV-RP-0510)

Data quality assurance (DNV-RP-0497)

Data quality assurance (DNV-RP-0497)

Simulation models assurance (DNV-RP-0513)

Simulation models assurance (DNV-RP-0513)

Digital twin assurance (DNV-RP-A204)

Digital twin assurance (DNV-RP-A204)

Cyber security recommended practices

Cyber security recommended practices

Sensor systems assurance (DNV-RP-0317)

Sensor systems assurance (DNV-RP-0317)

Explore case studies demonstrating how digital trust recommended practices have been effectively applied in practice

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Building trust in data-driven algorithms to optimize network operations for SGN

  Aker BP seeks operational success on Yggrasil through an advanced digital twin

Aker BP seeks operational success on Yggrasil through an advanced digital twin

  Ensuring data quality to enable safe and efficient manufacturing for InterQ

Ensuring data quality to enable safe and efficient manufacturing for InterQ

  Building trust in a digital twin ecosystem for Visco

Building trust in a digital twin ecosystem for Visco

Frequently asked questions about Digital Trust:

Digital Trust recommended practices help organizations navigate the complexities of digital transformation while upholding trustworthy and responsible standards 

DNV´s recommended practices (RPs) for digital trust serves as robust governance frameworks and provide guidance and best practices for the procurement, development and operation of AI and other digital technologies, even for critical decision-making.   

The RPs have been established based on decades of experience, research, and expert knowledge. They are developed in close collaboration with the energy industry and validated through a global hearing process prior to publication. 

All organizations aiming to use AI and other digital technologies in a trustworthy way and derive value from them for critical decision-making will benefit from these recommended practices.  

Typically, users of the recommended practices are those responsible for the procurement, development, and operation of AI and other digital technologies. 

You can download our recommended practices from Rules and Standards Explorer+ on Veracity.  

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Depending on what you are trying to achieve and the use case, we can help you select the right recommended practice. Please contact us today for a non-binding conversation on recommended practices.

The recommended practices should be used as guidelines and a framework for how to quality assure technology, processes, and people involved throughout the lifecycle of the digital solution. Please contact us today for a non-binding conversation on recommended practices.

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