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Artificial intelligence ethics and societal impact.

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In this video, you will learn about

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understand key ethical concerns in AI.

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Identify and explain core ethical principles.

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Artificial intelligence or AI is changing how we interact with technology.

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From voice assistance to recommendation systems,

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AI is everywhere.

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But with this progress, come important ethical responsibilities.

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Buies and AI, AI learns by analyzing data.

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But if the data is incomplete or unfair, the AI can make bias decisions.

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For example, imagine a company uses AI to review job applications.

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If the training data mostly includes successful male candidates,

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the AI may start favoring men, even if women have the same skills.

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The AI is copying patterns from the past, even if they were unfair.

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Privacy concerns.

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AI systems often collect personal data like search history, location, or voice recordings.

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If this information isn't protected, it can be misused or shared without consent.

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This puts our personal privacy at risk.

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Misuse of AI, AI can also be used in harmful ways.

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For example, deep fake technology can create fake videos that make someone appear to say or do something they never did.

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This spreads false information and can seriously damage reputations.

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Ethical principles.

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In AI, to make AI safe and fair, we must follow these core ethical principles, fairness.

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Ensure the AI treats all users equally without discrimination.

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Transparency. Be clear about how the AI works and what data it uses.

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Accountability. Take responsibility for how AI decisions affect people.

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Conclusion. AI can help us solve big problems.

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But only if we use it wisely.

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By understanding bias, protecting privacy, and avoiding misuse,

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we can make AI more ethical and beneficial for everyone.