An Institutional Framework that Strengthens Trust and Responsibility
At the International Federation for Artificial Intelligence, we establish a set of policies and standards that govern our work and guide our projects and partnerships toward the responsible and secure development and use of artificial intelligence—while respecting human rights, protecting data, and supporting sustainable innovation.
Our policies and standards are not merely regulatory requirements; they form a practical framework that supports responsible decision-making, risk management, and greater transparency across the Federation’s activities.
We are guided by relevant international principles and practices in AI ethics, data governance, privacy, and digital security, while taking into account the differences in laws and regulatory requirements across countries and institutions.
Responsibility: Clearly defining roles and responsibilities while ensuring appropriate human oversight of decisions and technological systems.
Fairness and Non-Discrimination: Working to reduce bias and discrimination while encouraging the development of more equitable and inclusive technological solutions.
Transparency and Explainability: Promoting clarity around how artificial intelligence systems and data are used, as well as the outcomes they produce.
Privacy and Data Protection: Handling data responsibly, limiting data collection to what is necessary, and protecting it from unauthorized use.
Safety and Risk Management: Assessing potential technical and ethical risks and establishing appropriate measures to mitigate their impact.
Human-Centered Approach: Directing artificial intelligence toward serving people and society while preserving dignity, rights, and fundamental freedoms.
The Federation’s policies cover a range of key areas that help organize its activities, initiatives, and partnerships, while providing a clear reference framework for members, teams, and collaborating institutions.
AI Ethics
Establishing principles that guide the design, development, and use of artificial intelligence systems in a fair, transparent, and responsible manner, while considering their impact on individuals and society.
Data Governance and Quality
Defining controls for the collection, classification, use, and sharing of data, with particular attention to accuracy, quality, source integrity, and legitimate purpose of use.
Privacy and Information Protection
Adopting practices that help protect personal and institutional data, while regulating access permissions, data retention, and information sharing.
Digital Security
Raising awareness of digital risks and encouraging the implementation of preventive measures appropriate to the nature of the systems and data being used.
Research and Innovation Integrity
Supporting scientific integrity, respecting intellectual property, and promoting transparency regarding data sources, methodologies, and the limitations of research findings.
Responsible Partnerships
Evaluating collaboration opportunities according to clear criteria that consider institutional alignment, integrity, data protection, defined responsibilities, and shared interests.
The Federation’s policies cover the various aspects related to the responsible development and use of artificial intelligence, starting with adherence to ethical principles such as fairness, transparency, and respect for human rights, and extending to data governance, quality assurance, and source integrity.
These policies also address information protection and privacy, promote awareness of digital security and risk management, and support research integrity and respect for intellectual property. The same standards extend to the Federation’s partnerships to ensure clear responsibilities, aligned interests, and commitment to responsible institutional practices.
We integrate policies and standards throughout every stage of planning, implementing, and reviewing initiatives and projects. The process begins with assessing objectives and identifying requirements and potential risks, followed by clearly defining the roles, authorities, and obligations of all relevant parties.
It continues through implementation monitoring and documentation of key decisions and changes, concluding with a review of outcomes and the refinement of procedures to reflect emerging experience as well as technological and regulatory developments.
The Federation’s work is guided by a set of frameworks and regulatory documents that define the principles and requirements related to AI ethics, data privacy and protection, information governance and quality, digital security, responsible partnerships, and research integrity.
These documents serve as an institutional reference that helps members, teams, and partners understand their responsibilities and apply the adopted standards in a clear and consistent manner.
Policies and standards are reviewed periodically to ensure they remain aligned with technological and regulatory developments, as well as the evolving needs of institutions and communities. We also welcome feedback from experts, members, and partners that contributes to strengthening these frameworks and improving their effectiveness.
Building trust in artificial intelligence requires genuine collaboration among institutions, developers, researchers, and policymakers. Through clear policies and practical standards, we seek to support innovation, protect rights, and create a positive and sustainable impact.