The first incident occurred two days ago, following the complaints of a user, Jacky Alcine, who published on Twitter a screenshot showing the bizarre way Google Photo organised its photos according to categories, i.e. skyscrapers, airplanes, automobiles and bicycles. So far so good. Then a photo of the user, a black man, appeared with his friend, black as well, with a tag saying 'gorilla'. "Google Photos, y'all (expletive) up. My friend's not a gorilla" was the text of the tweet. It was followed by many others in which Alcine, a developer by profession, proved that by writing 'gorilla' in the search function of her library, photos of the man with his friend continued to appear. Two hours later, they were included in a conversation with Yonatan Zunger, Chief Architect of Social Media for Google. His team managed to find a solution to the problem in about an hour. The following morning, however, two more photos of Alcine and her friend appeared tagged as 'gorillas'. Zunger could only remove the 'gorilla' tags from the Google Photo database while searching for a permanent solution to the problem. The company apologised to the user and promised to look into the issue more thoroughly. "There is still clearly a lot of work to do with automatic image labelling, and we're looking at how we can prevent these types of mistakes from happening in the future," said a Google spokesperson. According to the Wall Street Journal, the incident is related to the bad functioning of the Google Photo algorithms of facial recognition and the need to be more accurate. "We need to fundamentally change machine learning systems to feed in more context so they can understand cultural sensitivities that are important to humans," said Babak Hodjat, chief scientist at Sentient Technologies, an artificial-intelligence company. "Humans are very sensitive and zoom in on certain differences that are important to us culturally," Hodjat told the Wall Street Journal. "Machines cannot do that. They can't zoom in and understand this type of context.". (AGI)