Responsible AI means developing and using artificial intelligence ethically, ensuring fairness, transparency, safety, privacy, accountability, human oversight, and societal benefit.
Google's 7 AI Principles:
- Be socially beneficial: Google AI aims to create positive impact by ensuring benefits outweigh risks and improving lives with accurate information.
- Avoid creating or reinforcing unfair bias: Google strives to build AI that treats everyone equitably by actively working to prevent unjust bias in algorithms and data.
- Be built and tested for safety: Google prioritizes robust safety and security practices to prevent harm from unintended AI outputs through rigorous testing and monitoring.
- Be accountable to people: Google is committed to providing feedback mechanisms, explanations, and appeal processes for AI systems to ensure human oversight.
- Incorporate privacy design principles: Google integrates privacy considerations throughout AI development, emphasizing transparency, control, and privacy-preserving architectures.
- Uphold high standards of scientific excellence: Google grounds its AI innovation in rigorous scientific methods, promoting open inquiry and ethical research.
- Be made available for uses that accord with these principles: Google seeks to limit harmful applications of its AI and avoid specific harmful uses like weapons and rights-violating surveillance.
