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A new test could tell us whether an AI has common sense

Virtual assistants and chatbots don’t have a lot of common sense. It’s because these types of machine learning rely on specific situations they have encountered before, rather than using broader knowledge to answer a question. However, researchers at the Allen Institute for AI (Ai2) have devised a new test, the Arc Reasoning Challenge (ARC) that can test an artificial intelligence on its understanding of the way our world operates.

Humans use common sense to fill in the gaps of any question they are posed, delivering answers within an understood but non-explicit context. Peter Clark, the lead researcher on ARC, explained in a statement, “Machines do not have this common sense, and thus only see what is explicitly written, and miss the many implications and assumptions that underlie a piece of text.”

The test asks basic multiple-choice questions that draw from general knowledge. For example, one ARC question is: “Which item below is not made from a material grown in nature?” The possible answers are a cotton shirt, a wooden chair, a plastic spoon and a grass basket.

This cauliflower-picking robot aims to make up for a shortage of human labor in the UK

Meet GummiArm, the soft-handed robot that could fill in for a lack of human crop pickers—if British farmers can afford the cost.

The problem: The Telegraph notes that 40 percent of the growing costs for cauliflower, and similar crops like cabbage and broccoli, comes from harvesting in the UK. And that could rise, as crop-picking labor supply is set to decline in the country following Brexit.

Robots could help: University of Plymouth researchers say their GummiArm bot can pick up the slack. Computer vision allows it to work out which vegetable it should try to pick, while its hand can become more or less stiff to gently pick brassicas from their stems. It’s currently being tested in fields in southwestern England.

We need to improve the accuracy of AI accuracy discussions

Reading the tech press, you would be forgiven for believing that AI is going to eat pretty much every industry and job. Not a day goes by without another reporter breathlessly reporting some new machine learning product that is going to trounce human intelligence. That surfeit of enthusiasm doesn’t originate just with journalists though — they are merely channeling the wild optimism of researchers and startup founders alike.

There has been an explosion of interest in artificial intelligence and machine learning over the past few years, as the hype around deep learning and other techniques has increased. Tens of thousands of research papers in AI are published yearly, and AngelList’s startup directory for AI companies includes more than four thousands startups.

After being battered by story after story of AI’s coming domination — the singularity, if you will — it shouldn’t be surprising that 58% of Americans today are worried about losing their jobs to “new technology” like automation and artificial intelligence according to a newly released Northeastern University / Gallup poll. That fear outranks immigration and outsourcing by a large factor.

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