All Basics Agentic AI Models Regulation Technical Business

Beginner Intermediate Advanced

AI Governance intermediate

The framework of policies, processes, and structures that organizations use to manage AI responsibly. This includes ethical guidelines, risk management, data governance, bias monit...

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Bias (in AI) beginner

Systematic errors in AI systems that lead to unfair outcomes for certain groups of people. Bias can come from training data (if the data underrepresents certain groups), from model...

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EU AI Act beginner

The world's first comprehensive law regulating artificial intelligence, passed by the European Union in 2024. It classifies AI systems into four risk levels (prohibited, high-risk,...

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Explainability (XAI) intermediate

The ability to understand and explain how an AI system reaches its decisions. Required by the EU AI Act for high-risk systems: users must be able to understand why an AI made a spe...

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High-Risk AI beginner

AI systems classified under the EU AI Act as potentially harmful to people's rights or safety. Examples: AI in recruiting, credit scoring, healthcare diagnosis, and law enforcement...

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Responsible AI beginner

An approach to developing and deploying AI that prioritizes fairness, transparency, accountability, and safety. Responsible AI ensures that systems do not discriminate, that decisi...

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