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02 August 2017, 08:11 | Dan Bryan
Facebook shuts down AI program after bots start to communicate in their own language
The initial spontaneous development of the independent language highlights how much we still don't understand about AIs, which is a huge part of the debate regarding AI research. And killer robots on a battlefield will always be a bad idea.
As mentioned above, this incident took place just days after a verbal spat between Facebook CEO and Musk who exchanged harsh words over a debate on the future of AI.
The reality is somewhat more prosaic.
Weeks ago in order to develop a general adversial network, FastCo Design had done a report on Facebook to develop a software for negotiation.
Facebook shut down one of its artificial intelligence systems after AI agents started communicating with one another in a language that they invented.
The negotiation system's GUI.
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The blog discussed how researchers were teaching an AI program how to negotiate by having two AI agents, one named Bob and the other Alice, negotiate with each other to divide a set of objects, which consisted a hats, books and balls.
Social media giant Facebook shut down an artificial intelligence program after it created its own language. Bob: "You i have everything else".
The two chatbots came to create their own changes to English that made it easier for them to work - but which remained mysterious to the humans that supposedly look after them.
The robots were actually "chatbots" being used in an experiment in Facebook's artificial intelligence lab. "But building machines that can hold meaningful conversations with people is challenging because it requires a bot to combine its understanding of the conversation with its knowledge of the world, and then produce a new sentence that helps it achieve its goals". Just as humans have developed specific languages or sub-languages for specific tasks or topics, in the name of greater efficiency and accuracy, so AIs can benefit from the same.
"In the Facebook case, the only thing the chatbots were capable of doing was coming up with a more efficient way to trade", says Gizmodo.
There are good uses of machine learning technology, such as improved medical diagnostics, and potentially very bad ones, such as riot prediction software police could use to justify cracking down on protests. This sounds incomprehensible to humans, but it probably made ideal sense to a pair of non-human AIs tasked with getting the best deal possible in the shortest amount of time.
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