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.