Common AI principle themes that organizations align with their mission and values typically include the following:
- Transparency : Ensuring AI decision-making processes are understandable and explainable to users and stakeholders, fostering trust
- Fairness and Non-Discrimination : Committing to equitable outcomes by mitigating bias and ensuring AI treats individuals fairly regardless of sensitive attributes like race, gender, or ethnicity
- Accountability : Holding developers and deployers responsible for AI impacts, including compliance with laws and ethical standards, and providing mechanisms to address errors or harms caused by AI
- Privacy and Data Protection : Safeguarding user data, respecting privacy rights, and ensuring secure handling of information
- Safety and Reliability : Developing AI systems that are robust, secure, and consistently perform their intended functions without causing harm
- Human-Centeredness and Value Alignment : Designing AI to align with human values, dignity, rights, and cultural diversity, preserving human autonomy and agency
- Inclusiveness and Diversity : Promoting accessibility and inclusion, ensuring AI benefits diverse communities and respects pluralism
- Social Benefit and Shared Prosperity : Using AI to advance societal well-being, economic progress, and shared benefits broadly across humanity
- Collaboration and Continuous Improvement : Engaging diverse stakeholders in AI governance and iteratively improving AI systems to address emerging risks and ethical challenges
These themes reflect a broad consensus across public and private sectors globally, rooted in fundamental human rights and ethical frameworks, and are adapted to fit specific organizational missions and values
