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"The really significant thing about AlphaGo is that it (and its creators) cannot explain its moves. And yet it plays a very difficult game expertly. So it's displaying a capability eerily similar to what we call intuition - "knowledge obtained without conscious reasoning". Up to now, we have regarded that as an exclusively human prerogative. It's what Newton was on about when he wrote "Hypotheses non fingo" in the second edition of his Principia: "I don't make hypotheses," he's saying, "I just know.""

"One of Google's self-driving cars crashed into a bus in California last month. There were no injuries. It is not the first time one of Google's famed self-driving cars has been involved in a crash, but it may be the first time it has caused one. "

"The development of autonomous military systems - dubbed "killer robots" by campaigners opposed to them - is deeply contentious. Earlier this year, Google withdrew from the Pentagon's Project Maven, which uses machine learning to analyse video feeds from drones, after ethical objections from the tech giant's staff. The government insists it "does not possess fully autonomous weapons and has no intention of developing them". But, since 2015, the UK has declined to support proposals put forward at the UN to ban them. Now, using government data, Freedom of Information requests and open-source information, a year-long investigation reveals that the MoD and defence contractors are funding dozens of artificial intelligence programmes for use in conflict."

"Google, Uber, Tesla and the major truck manufacturers are looking to a future in which people like Baxter will be replaced - or at the very least downgraded to co-pilots - by automated vehicles that will save billions but will cost millions of jobs. It will be one of the biggest changes to the jobs market since the invention of the automated loom - challenging the livelihoods of millions across the world."

"In a paper titled "Towards Causal Representation Learning," researchers at the Max Planck Institute for Intelligent Systems, the Montreal Institute for Learning Algorithms (Mila), and Google Research discuss the challenges arising from the lack of causal representations in machine learning models and provide directions for creating artificial intelligence systems that can learn causal representations."

"Yet so-called smart devices inarguably depend on thousands of low-paid humans who annotate sound snippets so tech companies can upgrade their electronic ears; our faintest whispers have become one of their most valuable datasets."

""If these systems aren't used to create propaganda and misinformation yet, I don't know what certain governments are doing with their time," ex-Google engineer Blake Lemoine said. "We're letting the engineering get ahead of the science. We're building a thing that we literally don't understand.""

""Self-driving vehicle technology will make America's roadways safer and less congested," Strickland said in a release. "The best path for this innovation is to have one clear set of federal standards, and the Coalition will work with policymakers to find the right solutions that will facilitate the deployment of self-driving vehicles.""

"Computer Vision and Pattern Recognition shows that these watermarks can be reliably detected and undetectably erased by software."

"YouTube will rely more on machine learning and less on human reviewers during the coronavirus outbreak. Normally, algorithms detect potentially harmful content and send it to human reviewers for assessment. But these are not normal times, and in an effort to reduce the need for employees and contractors to come into an office, YouTube will allow its automated system to remove some content without human review."

"But BERT, which is now being deployed in services like Google's internet search engine, has a problem: It could be picking up on biases in the way a child mimics the bad behavior of his parents. BERT is one of a number of A.I. systems that learn from lots and lots of digitized information, as varied as old books, Wikipedia entries and news articles."

"Assigning female genders to digital assistants such as Apple's Siri and Amazon's Alexa is helping entrench harmful gender biases, according to a UN agency."