Google is developing an AI that naturally favors the fair sharing of wealth

Google researchers have developed an artificial intelligence that favors the equitable sharing of wealth between individuals. And humans have chosen to follow this pattern of resource allocation.

Qui would have thought that Google would be at the origin of a experimentation for the equitable sharing of wealth ? Yet that is exactly what happened. Researchers from the DeepMind branch of the American company published an article in the journal Nature Human Behaviorto explain their work on the development of a artificial intelligence said democratic. An article by Vice looks back on this research, in French. Clearly, several people have taken part in a common experiment in economics called the “public good game”. The principle is simple. Each player receives 10 tokens and can keep them or participate in a common kitty. This is where artificial intelligence comes into play. Because the common kitty could be donated to players according to three different models.

AI based on human values

Players could choose either a libertarian redistribution model, based on each player’s contribution, or an egalitarian model, with each participant getting exactly the same amount regardless of what they initially contributed. Two well-known human economic systems. But it is the third system, created by artificial intelligence, for which the study participants opted. Called human-centered redistribution mechanismthis consists of redistributing wealth taking into account the advantages and disadvantages of the players at the start of the game.

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And Google researchers do not intend to stop there. “This is fundamental research that asks questions about how an AI can align itself with an entire group of individuals, but also questions how to model and represent human beings during simulations, all explored in a playful domain”, explains Jan Balaguer, researcher at DeepMind. “Many problems facing humans are not simply technological, but require general coordination in society and in our economies in order to work for the common good. And if AI is to help, it needs to learn human values ​​directly.”


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