Generative Adversarial Networks (GANs) are a class of machine learning frameworks that are used for unsupervised learning. It was designed by Ian Goodfellow and his colleagues in 2014. GANs are made up of a system of two competing neural network models which compete with each other and are able to analyze, capture and copy the variations within a dataset.

#1 In 2018, The New York Times published the article “AI Art at Christie’s Sells for $432,500”. It was for the portrait Edmond de Belamy, from La Famille de Belamy produced using GAN technology by the French art collective Obvious.

#2 After the publication of the European Commission’s  proposal for a Regulation on Artificial Intelligence in April 2021, several commentators have raised concerns or doubts about that draft in three main areas: (i) the regulation of emotion recognition, (ii) the regulation of biometric classification systems and (iii) the protection against commercial manipulation

#3 In May 2021, the MIT Technology Review published the article “AI can show us the ravages of climate change” citing a paper that shows how machine-learning highlights the ravages of climate change on a  property.