Trust in AI
Artificial intelligence and machine learning offer more and more opportunities in all areas of life. New applications can support people, whether on cell phones, in medicine or in traffic. Like any technology, AI has its risks, but these are difficult to predict when artificial intelligence is like a black box and hardly anyone knows how it comes to its conclusion.
There are parameters that help make applications based on machine learning and artificial intelligence trustworthy and reliable. However, these factors are hardly known to the general public. Researchers at TU Dortmund University therefore explain such basic concepts for trustworthy AI in short, understandable videos.
Further information and current news on the topic of artificial intelligence and machine learning at TU Dortmund University can be found in the AI dossier.
Robustness
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Explainability
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Verification
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Guarantees
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Fairness
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Reliability
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Transparency
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Uncertainty
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Specification
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