- Accountability: Those who develop and deploy AI must be accountable for its impact on people and society.
- Inclusiveness: AI should be designed to be inclusive and accessible to all, regardless of background, abilities, or beliefs.
- Reliability and Safety: AI systems must be reliable, safe, and secure.
- Fairness: AI systems must be designed to be fair and unbiased, and should not perpetuate or amplify existing forms of discrimination or inequity.
- Transparency: AI systems should be transparent, and people should be able to understand how they work and how they are making decisions.
- Privacy and Security: AI systems must be designed with privacy and security in mind, and should not compromise the confidentiality, integrity, or availability of personal data.
- Human Values: AI systems should be designed and operated so as to be compatible with ideals of human dignity, rights, freedoms, and cultural diversity.
- Non-subversion: The power conferred by control of AI systems should respect and improve, rather than subvert, the social and civic processes on which the health of society depends.
- Responsibility: Designers and builders of AI systems are stakeholders in the moral implications of their use, misuse, and actions, with a responsibility and opportunity to shape those implications.
- Shared Benefit: AI technologies should benefit and empower as many people as possible, and should not be developed solely for the benefit of a few.
These principles emphasize the importance of responsible and ethical AI development and use, and provide a framework for ensuring that AI serves the common good and promotes human well-being. By upholding these principles, we can ensure that AI is a force for good in our world.