WHAT ARE THE ETHICAL IMPLICATIONS OF ARTIFICIAL INTELLIGENCE?
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Bias and Fairness
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Artificial Intelligence AI algorithms can inherit biases from their training data. Unaddressed bias can lead to unfair and discriminatory outcomes.
Privacy Concerns AI can invade personal privacy through data collection and surveillance. Ethical AI development must prioritize data protection and consent.
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Job Displacement Automation driven by AI may lead to job loss for some workers. Ethical considerations involve job retraining and economic support.
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Accountability and Responsibility
Determining who is responsible for AI actions is often unclear. Ethical frameworks must define accountability and liability.
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Transparency and Explainability Many AI models are "black boxes," making it hard to understand their decisions. Ethical AI requires transparency and the ability to explain AI reasoning.