Scientists are using the popular drawing game Pictionary to teach artificial intelligence common sense. AI researchers at the Allen Institute for Artificial Intelligence (AI2), a non-profit lab in Seattle, developed a version of the game called Iconary in order to teach its AllenAI artificial intelligence abstract concepts from pictures alone. Iconary was made public on 5 February
Scientists are using the popular drawing game Pictionary to teach artificial intelligence common sense.
AI researchers at the Allen Institute for Artificial Intelligence (AI2), a non-profit lab in Seattle, developed a version of the game called Iconary in order to teach its AllenAI artificial intelligence abstract concepts from pictures alone.
Iconary was made public on 5 February in order to encourage people to play the game with AllenAI. By learning from humans, the researchers hope AllenAI will continue to develop common sense reasoning.
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“Iconary is one of the first times an AI system is paired in a collaborative game with a human player instead of antagonistically working against them,” the Iconary website states.
“AllenAI is capable of both understanding and producing a nearly infinite combination of real-world scenarios represented in the phrases in Iconary, a compelling example of the potential of common sense for AI and the power of human-AI collaboration.”
1/7 Boston Dynamics
Boston Dynamics describes itself as ‘building dynamic robots and software for human simulation’. It has created robots for DARPA, the US’ military research company
2/7 Google’s self-driving cars
Google has been using similar technology to build self-driving cars, and has been pushing for legislation to allow them on the roads
3/7 DARPA Urban Challenge
The DARPA Urban Challenge, set up by the US Department of Defense, challenges driverless cars to navigate a 60 mile course in an urban environment that simulates guerilla warfare
4/7 Deep Blue beats Kasparov
Deep Blue, a computer created by IBM, won a match against world champion Garry Kasparov in 1997. The computer could evaluate 200 million positions per second, and Kasparov accused it of cheating after the match was finished
5/7 Watson wins Jeopardy
Another computer created by IBM, Watson, beat two champions of US TV series Jeopardy at their own game in 2011
6/7 Apple’s Siri
Apple’s virtual assistant for iPhone, Siri, uses artificial intelligence technology to anticipate users’ needs and give cheeky reactions
7/7 Kinect
Xbox’s Kinect uses artificial intelligence to predict where players are likely to go, an track their movement more accurately
1/7 Boston Dynamics
Boston Dynamics describes itself as ‘building dynamic robots and software for human simulation’. It has created robots for DARPA, the US’ military research company
2/7 Google’s self-driving cars
Google has been using similar technology to build self-driving cars, and has been pushing for legislation to allow them on the roads
3/7 DARPA Urban Challenge
The DARPA Urban Challenge, set up by the US Department of Defense, challenges driverless cars to navigate a 60 mile course in an urban environment that simulates guerilla warfare
4/7 Deep Blue beats Kasparov
Deep Blue, a computer created by IBM, won a match against world champion Garry Kasparov in 1997. The computer could evaluate 200 million positions per second, and Kasparov accused it of cheating after the match was finished
5/7 Watson wins Jeopardy
Another computer created by IBM, Watson, beat two champions of US TV series Jeopardy at their own game in 2011
6/7 Apple’s Siri
Apple’s virtual assistant for iPhone, Siri, uses artificial intelligence technology to anticipate users’ needs and give cheeky reactions
7/7 Kinect
Xbox’s Kinect uses artificial intelligence to predict where players are likely to go, an track their movement more accurately
Human players can either choose to draw an image or guess a picture that the AllenAI has drawn. The difficulty ranges from simple phrases like “woman kicking the football”, to more complex concepts like “celebrating a festival”.
Crucially, the AI has never seen these phrases before and must either guess them from images drawn by the human player, or convey them to the human through its own series of images.
The difficulty in teaching artificial intelligence common sense has proved to be one of the key stumbling blocks in developing chatbots and voice assistants that are genuinely multi-purpose.
“This is a first step toward exploiting common sense,” said Aniruddha Kembhavi, a computer scientist who worked on the project.
Fellow computer scientist Ali Farhadi added: “We wanted to build an AI system that can collaborate with human beings, and at the same time is learning about how humans think, how they act… I actually kind of feel that this system is connecting to me deep in my thoughts.”
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