Fairness & Bias
AI systems should avoid discrimination and ensure fair treatment across different groups (gender, race, etc.).
Transparency
AI decisions should be explainable so users understand how outcomes are generated.
Accountability
There must be responsibility for AI decisions—developers or organizations should be answerable for harm caused.
Privacy & Data Protection
AI must respect user data, ensuring personal information is securely stored and not misused.
Safety & Reliability
AI systems should function correctly, avoid harmful errors, and be tested thoroughly before use.
Human Control (Human-in-the-loop)
Humans should have the ability to oversee, intervene, or override AI decisions when necessary.
Security
AI systems should be protected from hacking, misuse, or malicious attacks.
Social Impact
AI should benefit society, minimizing negative effects like job displacement or inequality.
AI for All Inc. 