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Algorithmic bias – the cruel mirror artificial intelligence (AI) and machining learning (ML) reflects back at us
Algorithmic bias is not an error, but a systemic fault that’s rooted in the way algorithms work. In general, the more...
Testing of artificial intelligence (AI) and machine learning (ML) –reinforcement learning
This machine learning method is based on rewards and/or punishments. Optimal behaviour or action by a machine is...
Testing of artificial intelligence (AI) and machine learning (ML) – unsupervised learning
Unsupervised learning is where a machine learns for itself. It has to identify naturally occurring patterns within...
Testing of AI and ML – supervised learning
Supervised learning is example-based. A computer algorithm is trained on input data labelled for a particular output....
Introduction to the testing of artificial intelligence (AI) and machine learning (ML)
In this paper, we look at recent developments in AI and ML, together with the long-standing challenges involved and...
An overview of artificial intelligence (AI) and machine learning (ML)
This whitepaper is the first in a series which act as companion pieces:An overview of artificial intelligence (AI) and...
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