Facial recognition systems often use methods known as "liveness detection", which are supposed to distinguish real faces from mere photos. However, these methods typically rely...
Creating highly efficient artificial intelligences also means sometimes facing opaque algorithms. Basically, researchers develop models that are so sophisticated that even they do not fully...
When an AI makes a decision, it's important to know how it arrived at that conclusion to avoid unpleasant surprises. Understanding this reasoning helps identify...
A deep neural network is organized into multiple layers composed of simple units called artificial neurons. Each layer feeds off the outputs of the previous...
Artificial intelligence algorithms learn from datasets that already contain human biases and stereotypes. If historical data reflects social, economic, or cultural inequalities, artificial intelligence will...
Voice assistants often collect very sensitive information: bank details, addresses, query histories, or medical data. If this information is not properly protected, hackers can easily...
Our natural language is incredibly subtle: a short and simple sentence can hide multiple possible meanings. The words themselves are not always clear; a single...
When an artificial intelligence learns on its own from existing data, it always tends to reproduce some of the biases embedded in that data. For...
One word can have multiple meanings: this is called polysemy. Take the word lawyer. For you, it's clear right away, but for an automatic translation...
When learning a foreign language, we tend to keep our original accent. Our brain is used to pronouncing sounds as in our native language, so...
