Positive AI: Advancing Responsible and Ethical AI Practices

Positive AI is a non-profit association founded by leading organizations including BCG X, L’Oréal, Malakoff Humanis, and Orange, dedicated to fostering responsible, concrete, and applicable artificial intelligence across industries. It serves as a collaborative community for hundreds of AI experts, offering a comprehensive ecosystem to support ethical AI development and governance. Through its flagship initiatives—the Positive AI Label, training programs, and the Diagnostic Flash tool—Positive AI empowers businesses of all sizes and sectors to assess, improve, and certify their AI practices in alignment with the European Commission’s six core principles of Responsible AI: technical robustness, responsibility, privacy, human oversight, transparency, fairness, and social/environmental impact. The platform provides ongoing value through webinars, workshops, and a curated repository of tools and questions, enabling organizations to stay ahead of regulatory changes like the AI Act while building trust and compliance.

Key Features:

• Positive AI Label Certification: A three-tiered evaluation system assessing both technical and governance aspects of responsible AI.
• Training Programs: Customized courses in Responsible AI delivered in collaboration with DataScientest, including:
  • Ethical Leader (1–2 hours, in-company)
  • Responsible Coders (5-day hybrid program)
  • Fundamentals (3-hour session, available in-house or remotely)
• Diagnostic Flash Tool: A self-assessment tool to evaluate organizational maturity in AI ethics and deliver initial recommendations.
• Community of Experts: A network of several hundred professionals sharing insights, best practices, and collective intelligence on ethical AI.
• Webinars & Workshops: Regular educational events on AI ethics, regulatory compliance (e.g., AI Act), bias mitigation, privacy, and real-world business applications.
• Technical Framework & Repository: A publicly available resource of good practices, tools, and questions to guide ethical AI implementation.
• Collaboration Platform: Enables members to contribute to working groups, participate in events, and co-develop responsible AI standards.
• Multi-language Website Support: Uses a pll_language cookie to dynamically adjust content based on user preferences.

Pricing: Positive AI offers a freemium model, with free access to public resources, webinars, and the Diagnostic Flash tool, while advanced services like the Positive AI Label certification and in-depth training require membership or paid engagement.

Conclusion: Positive AI stands as a vital force in the responsible AI movement, combining ethical guidance, practical tools, and expert collaboration to help organizations build trustworthy, compliant, and impactful AI systems—making it an essential partner for any business serious about ethical innovation.