The human being, the weak point of Artificial Intelligence

Magic formulas for some or mathematical formulas full of future for others, algorithms are far from being infallible. Yet today, most of them lead to decisions that influence many companies and even human lives. Denis Molin -- consultant at TeraData, a technology company specialized in database analysis and Big Data software -- puts into perspective the biases that humans generate in AI. Cathy O'Neil was one of the first to warn about these dangers in her book Algorithms, the time bomb published in 2016. Buried inside the algorithms, intentional or unintentional biases can lead to bad interpretations of data and ultimately to bad decisions. Especially since these algorithms are much more important than they appear, since artificial intelligence is based on self-learning algorithms that evolve over time, depending on the data they are provided with.