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15 cards from this deck
Systems performing tasks requiring human intelligence (learning, reasoning, problem-solving)
Systems designed & trained for a specific task only
Siri, Amazon Alexa
Systems with general intelligence across wide range of tasks
Systems surpassing human intelligence; speculative concept
AI subset: systems learn & improve from experience automatically
Model trained on labelled dataset to map inputs to outputs
Model trained on unlabelled data to infer natural structure
Model uses small labelled + large unlabelled data for training
Training agents via trial & error to maximise cumulative rewards
Systematic errors/prejudices leading to unfair/inaccurate results
Representative data, statistical methods, human oversight, fairness-aware algorithms
Techniques making ML model behaviour understandable to humans
Model's inherent ability to be understood without extra tools
Techniques explaining complex models after training
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