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LO-1
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Explains the basic principles of ethical theories and their applications in the context of artificial intelligence. |
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LO-2
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Defines responsible and trustworthy artificial intelligence principles. |
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LO-3
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Analyzes the sources and social consequences of algorithmic bias. |
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LO-4
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Evaluates fairness metrics and bias mitigation approaches. |
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LO-5
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Interprets the concepts of transparency and explainability on artificial intelligence systems. |
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LO-6
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Explains the principles of privacy, personal data protection and data governance. |
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LO-7
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Evaluates the effects of artificial intelligence on employment, social inequality and the digital divide. |
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LO-8
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Discusses the problems brought by generative artificial intelligence in terms of copyright, disinformation and social trust. |
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LO-9
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Analyzes the issues of responsibility and accountability in autonomous systems. |
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LO-10
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Compares artificial intelligence regulations and governance approaches at national and international scales. |