Principles and Guidelines for AI Usage

Figure: A diagram summarizing key AI ethics principles, emphasising fairness, accountability, privacy, and safety.

Principles and Guidelines

Fairness and non-discrimination

AI systems should be designed and operated to avoid unfair bias and discrimination.

• Train models on diverse and representative data.
• Regularly audit outcomes to identify and mitigate biases.

Transparency and explainability

Explain AI decisions in understandable terms.

• Provide clear documentation about the system's purpose and limitations.
• Offer users accessible explanations for automated decisions.

Accountability

Define who is responsible for AI system outcomes.

• Assign roles and responsibilities for oversight.
• Establish processes for addressing harm caused by AI systems.

Privacy and data governance

Respect user privacy and use data responsibly.

• Collect only necessary data and obtain consent.
• Implement robust security measures to protect data.

Safety and robustness

Ensure AI systems operate reliably and safely.

• Test systems extensively to prevent unexpected behavior.
• Include fail‑safe mechanisms to handle errors or misuse.