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Artificial Intelligence Quality

Whitepaper

Whitepaper

Artificial Intelligence is not just about endless perspectives. It comes with responsibilities and complexity. It disrupts organisations and forces a new way of implementing projects. You need to understand the risks you are facing and analyse your organisation’s maturity, otherwise you'll fail to implement AI projects and to be compliant. 

To face this challenge, TÜV SÜD has conceived an AI quality framework mitigate AI risks. It is based on current and upcoming standards and regulations, business requirements and best practices.

One of the tools of this quality framework is a Readiness Analysis which provides guidance on risks and maturity. We have applied it in industrial context: our white paper details how it works and shows the benefits of it.

Thanks to our AI & Data quality services you will comply with regulations and unleash the full potential of responsible AI.


Why download the whitepaper?

  • Gain insights into how Readiness Analysis can support companies in their AI journey
  • Understand the common framework companies can participate in and benefit from with this transformation
  • Find out how AI Quality is the catalyst in the transformation of digitalisation

excerpT

Dr. Andreas Hauser
CEO Digital Service, TÜV SÜD

Dr. Andreas Hauser CEO Digital Service, TÜV SÜD

 

 

 

 

 

 

 

 

 

  "Numerous quality approaches and frameworks are available but only
  few are truly auditable. To the best of the authors’ knowledge, there are
  no frameworks other than TÜV SÜD’s AI Quality Framework, which
  comprehensively covers all relevant quality pillars: safety, security, legal,
  ethics3, performance, and sustainability. These six quality pillars fully
  describe all relevant aspects of AI quality.

  TÜV SÜD’s AI Quality Framework is a flexible framework that is based on
  standards, regulations, and best practices. With this framework, any AI
  system can objectively be assessed, and its quality ultimately assured.
  In this whitepaper, we will briefly describe the framework and demonstrate
  its practical application using the example of an automated AI-based
  medical solution that interprets and analyses the health of a brain."

 

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