The role of responsible AI principles in driving competitive advantage
Clear principles give organizations a shared standard for building and using AI they can trust.
Naizel responsible AI principles
What is responsible AI?
Responsible AI is the practice of designing, building and using AI in ways that are lawful, ethical, safe and aligned with human values.
What is the difference between ethical AI and responsible AI?
Ethical AI focuses on values. Responsible AI turns those values into governance, processes and controls.
What are the nine principles of responsible AI?
Accountability
People remain responsible for AI outcomes.
Data protection
Personal and confidential data is protected.
Reliability
AI performs as intended and is monitored.
Security
AI is protected against misuse and attack.
Transparency
People know when and how AI is used.
Explainability
AI decisions can be explained in understandable terms.
Fairness
AI is tested for and protected against bias.
Compliance
AI meets applicable laws and standards.
Sustainability
The environmental impact of AI is considered.
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