It's the year 2023, so anything that can get an injection of AI will get an injection of AI. However, I doubt many people had the board game Pictionary on their artificial intelligence bingo card. Mattel just surprised us all and announced a new version of the game, Pictionary Vs. It's the brand's first title to "incorporate AI technology" and marks the company's "first major leap into the category." The difference between this and traditional Pictionary is that here everyone works to stump the artificial intelligence, instead of each other.

The artificial intelligence (AI) that is already all around us cannot safely drive a car by himself, nor can they write compelling scripts. Still, every day the research to make them more capable gets new results, and in some cases, anyone with a computer and an Internet connection can help teach them something. Both Google and Microsoft have put online some experiments (interpretable as "games") with which to try to understand how to teach a computer to learn, or simply to get an idea of how smart some AI systems that already exist are. Google's can be found on the A.I. Experiments platform, while Microsoft's were mostly created by the Microsoft Garage research community. They are, of course, not the first such experiments.

Part of this exhibit will feature illusions. Some can fool people, and some can fool machines. Without full context, our brains cannot always make sense of images. Machines can see illusions we can't, but they can't see things we can! For example: without ears and a tail, a Chihuahua can easily look like a blueberry muffin!

This special series explores the evolving relationship between humans and machines, examining the ways that robots, artificial intelligence and automation are impacting our work and lives. For decades, the games that put artificial intelligence to the test have been played human vs. machine – whether it's checkers, chess, Go, poker, StarCraft or "Jeopardy." Why isn't there a game where the AI and the human are on the same side? Now there is, and you can play, too. Researchers at Seattle's Allen Institute for Artificial Intelligence are taking the wraps off Iconary, a Pictionary-type puzzle game in which an AI and human players take turns putting together pictures and guessing what phrases the pictures signify.

It might be a frivolous after-dinner game to you, but Pictionary could perhaps give AI programs a deeper understanding of the world. AI's lack of common sense is one of the main obstacles to the development of chatbots and voice assistants that are genuinely useful. What's more, while AI programs can trounce the best human players of many games, including chess, Go, and (more recently) StarCraft, mastering them offers only a narrow measure of artificial intelligence. Learning to play chess, for instance, does nothing to help a computer play Sudoku. Researchers at the Allen Institute for AI (Ai2) believe that Pictionary could push machine intelligence beyond its current limits.

What do the games of chess, Jeopardy!, Go, Texas Hold'em, and StarCraft have in common? In each of these competitive arenas, an AI has resoundingly beat the best human players in the world. These victories are astounding feats of artificial intelligence--yet they've become almost humdrum. At the Allen Institute for Artificial Intelligence (AI2), in Seattle, researchers set out to do something different. Their AllenAI collaborates with a human player in a Pictionary-style drawing and guessing game, which is won through human-AI cooperation.

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. "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.

When the arrow appeared next to the birdcage, I finally understood what my partner was trying to say. The game was a clone of Pictionary--I had to guess the phrase based on a drawing. My partner had initially depicted a duck next to a cage, plus a hand, and a pond. Only after I asked for another drawing and the arrow was added did I realize the hand was "releasing" the duck, not feeding it. "You win!!!" I was told, after typing in the full answer.

It might be a frivolous after-dinner game to you, but Pictionary could perhaps give AI programs a deeper understanding of the world. AI's lack of common sense is one of the main obstacles to the development of chatbots and voice assistants that are genuinely useful. What's more, while AI programs can trounce the best human players of many games including chess, Go, and more recently, StarCraft, mastering such games offer only a narrow measure of artificial intelligence. Learning to play chess, for instance, does nothing to help a computer play Sudoku. Researchers at the Allen Institute for AI (Ai2) believe that Pictionary could push machine intelligence beyond its current limits.

Artificial intelligence has now entered every sphere of our lives. Autonomous robots are self-dictated, have emotional intelligence and can analyse their surroundings and react accordingly. Robots like Smartibot, Vector by Anki and Evie are some of the coolest robots in the market. They can perform walk, perform chores and even play games. AI has been in vogue since its ability to mimic human-like game moves was discovered.