Peter Cowling

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AI cracked backgammon in 1979, putting all other games on notice. But today’s announcement about a Google computer system besting a human Go champion was still surprising since most researchers thought we were years, perhaps a decade, from machine intelligence accomplishing such a feat in the complex, ancient game. What does this mean for Artificial General Intelligence and where does research head next? In a Conversation piece, Peter Cowling and Sam Devlin try to answer. An excerpt:

However the real world is a step up, full of ill-defined questions that are far more complex than even the trickiest of board games. The techniques which conquered Go can certainly be applied in medicine, education, science or any other domain where data is available and outcomes can be evaluated and understood.

The big question is whether Google just helped us towards the next generation of Artificial General Intelligence, where machines learn to truly think like – and beyond – humans. Whether we’ll see AlphaGo as a step towards Hollywood’s dreams (and nightmares) of AI agents with self-awareness, emotion and motivation remains to be seen. However the latest breakthrough points to a brave new future where AI will continue to improve our lives by helping us to make better-informed decisions in a world of ever-increasing complexity.

Now that Go has seemingly been cracked, AI needs a new grand challenge – a new “lab rat” – and it seems likely that many of these challenges will come from the $100 billion digital games industry. The ability to play alongside or against millions of engaged human players provides unique opportunities for AI research. At York’s centre for Intelligent Games and Game Intelligence, we’re working on projects such as building an AI aimed at player fun (rather than playing strength), for instance, or using games to improve well-being of people with Alzheimer’s. Collaborations between multidisciplinary labs like ours, the games industry and big business are likely to yield the next big AI breakthroughs.•

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“The possibilities of game play are endless.”

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