alt Bern
|
alt Lisbon
info@ai-ei.org
+351 93 832 8533
Become a Member
alt Bern
|
alt Lisbon
info@ai-ei.org
+351 93 832 8533

 AI Ethical Principles and Standards

 AI Ethical Principles and Standards

 AI Ethical Principles and Standards

1. Overview
This project focuses on development of ethical AI principles and standards for companies implementing and developing AI, ensuring transparency, accountability, and risk minimization. For individuals — helping grow expertise in AI and becoming one of the AI officers to help and guide others. By laying out transparent principles and standards, organizations as well as professionals will be better equipped to address ethical challenges and maintain public trust.

2. Mission & Objectives

  • Mission: To establish widely recognized frameworks that promote accountability, transparency, and social responsibility in AI.
  • Objectives:
    • Develop and publish principles for at least two major categories: AI implementers and AI developers.
    • Secure the endorsement of at least 50 participants (organizations, experts, institutions) by 2025.
    • Expand adoption to over 4,000 participants worldwide by 2030, aiming for 90% of them to endorse our principles and 75% to demonstrate full compliance with the standards.

3. Key Activities

  • Research & Drafting: Collaborate with AI experts, legal advisors, and industry leaders to compile best practices.
  • Stakeholder Engagement: Host roundtables, webinars, and workshops to gather feedback on proposed standards.
  • Pilot Programs: Test early versions of the standards with selected organizations to refine guidelines and metrics.

4. Expected Impact / Outcomes

  • Reduced Financial Risks: Organizations adhering to these standards can minimize penalties and fines related to AI misuse or non-compliance.
  • Enhanced Product Quality: Better privacy, regulatory alignment, and overall user satisfaction.
  • Workforce Preparedness: Through planned integration of AI and upskilling programs, companies can help mitigate potential unemployment pressures.
  • Operational Efficiency: Clear guidelines can lower the costs of training and compliance, leading to more effective AI implementations.

5. Funding & Support
This project is open for support from donors and partners who believe in the importance of ethical AI standards. If you are interested in discussing funding opportunities or strategic collaboration, please reach out to us.

6. Get Involved
We welcome volunteers, experts, and investors to join our community. Whether you want to share knowledge, sponsor specific initiatives, or help shape the next generation of AI standards, please contact us to learn more about how you can contribute.

7. Roadmap (Timeline)

  • 2025: Formalize and publish initial principles; secure endorsement of at least 50 organizations.
  • 2026: Expand membership to 200 organizations; gather data on practical adoption.
  • 2027–2028: Refine standards based on real-world feedback; target over 1,000 participating entities by 2028.
  • 2029–2030: Scale to at least 4,250 participants globally; achieve 90% endorsement and 75% compliance rates.
Event

AI Horizon Conference

AI entrepreneurs, investors and leaders will gather at the AI Horizon Conference to connect the AI world.

November 11, 2025
To be Announced
Subscribe to Updates
AI Horizon