Ethics
In AI context, ethics refers to the moral principles that guide AI development and deployment—fairness, transparency, accountability, and respect for human dignity.
In Simple Terms
Think of AI ethics as the moral compass for building and using AI—it guides you to do the right thing, not just the legal thing.
Detailed Explanation
AI ethics addresses bias, privacy, safety, and the impact of AI on society. It informs both regulation and organizational policies. When to use: When designing AI systems or assessing their impact. Common mistakes: Treating ethics as optional or delegating it entirely to legal.
Related Terms
Artificial Intelligence
The simulation of human intelligence processes by machines, especially computer systems.
Read moreMachine Learning
A subset of AI that enables systems to learn and improve from experience without being explicitly programmed.
Read moreBias in AI
Bias in AI is systematic error or unfairness in how a model treats individuals or groups, often reflecting skewed data or flawed design. It can worsen existing inequalities if left unchecked.
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