Understand how AI makes decisions and who is responsible when AI causes harm.
AI systems make decisions that affect your life: what content you see, what ads you receive, and in some cases, decisions about loans, jobs, and even criminal justice. Understanding how these decisions are made matters.
AI systems make decisions by finding patterns in training data and applying those patterns to new situations. The problem is that these patterns can reflect historical biases, and the decision-making process is often opaque — even to the people who built the system.
When an AI system makes a harmful decision, who is responsible? The company that built it? The organization that deployed it? The person who used it? This accountability gap is one of the most important challenges in AI ethics.
Researchers are working on "explainable AI" — systems that can explain their decisions in human-understandable terms. This is important for accountability and trust.
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3 questions · Grade 4 level