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Positive AI label

label-positive-ai-ia-responsable
The aim of the Positive AI label is to recognize the work undertaken by the association's member companies, certify their approach to continuous progress and ensure the accountability of their data governance and algorithms. The label is open to Positive AI's member companies, whatever their level of maturity, sector of activity or size.

A specific approach built on the basis of a technical repository around the 6 fundamental principles of Responsible AI*

The label was built by the data scientists of Positive AI's founding members to respond as closely as possible to the realities experienced by data experts on a daily basis, while also addressing the challenges faced by business leaders. As such, it forms part of a global approach to assessing both corporate governance and AI systems. 

The Positive AI Label: 

  • Takes into account all 6 fundamental principles of the Responsible AI reference framework
  • Is part of a global approach to assessing and aligning both the organization and AI systems
  • Provides a detailed assessment of Responsible AI maturity
  • Identifies concrete levers to be implemented in order to progress effectively and implement a Responsible AI policy
  • Covers both the governance and technical aspects of AI systems
  • Enables the alignment of the organization's teams to develop an ethical and responsible AI culture around values shared by all teams
    • niveaux

      3 label levels

      to assess the organization's maturity
    • audit

      External auditors

      selected by Positive AI
    • confidentialité

      Respect for confidentiality

      of audited organizations

    In addition, the label is based on a technical repository with a library of questions, actions and tools, regularly enriched by our community, and covers the 6 fundamental key principles of Responsible Artificial Intelligence, defined by the European Commission :

    1. Technical robustness and safety
    2. Responsibility
    3. Privacy
    4. Human intervention
    5. Transparency and explicability
    6. Fairness and equity
    7. Social and environmental impact

    Why initiate a labeling process for your company?

    The Positive AI label offers organizations and companies the means: 

    • assess your level of maturity on Responsible AI, 
    • identify concrete levers for progress, as well as actions and tools to address them,
    • promote your continuous improvement approach to Responsible AI, 
    • implement data and algorithm governance that guarantees the fundamental rights of your employees and customers, 
    • disseminate a culture of ethical AI based on shared values within the company and among future talents who share these convictions.

    The label is awarded via an independent audit, while respecting confidentiality. 

    Would you like to label and commit your company to a Responsible Artificial Intelligence approach?
    Join us!