Spotify is currently working on an algorithm that could let musicians know whether their latest compositions copy parts of existing songs, reports the specialist magazine, Music Business Worldwide. Patent applications were apparently filed at the end of November in the US and in Europe, for a new technology named "Plagiarism Risk Detector and Interface." The invention is said to analyze so-called "lead sheets" -- a kind of musical score for songs denoting melody, chords and sometimes more -- to detect whether they copy any elements of any other tracks featured on the Spotify platform. These could be harmonies, sequences of chords or fragments of melody, for example. It could also provide a link to the track resembling the creation analyzed by the AI in order to facilitate rewriting.

A good Medium read ratio is generally between 20 and 50%. It depends, though, on the length of your article and the audience you're trying to engage. Very short articles (3 minutes or less) tend to have a higher read ratio, because it takes less time for a reader to complete the article. Likewise, long articles tend to have lower read ratios -- but not always.

The simulation of human intelligence is programmed to "think" like humans and mimic our actions to achieve a specific goal.

Machine learning is a fast-growing and successful branch of artificial intelligence.

As machine learning becomes more mainstream, companies across every vertical business are trying to apply it to their data to deliver meaningful …

This is not your usual keynote: it's "A Christmas Carol" themed exploration of bias in machine learning, with Michael Littman as Ebenezer Scrooge laying out objections to recent concern about bias in learning, and Charles Isbell as the "Ghost of Learning Past/Present/Future". Abstract: Successful technological fields have a moment when they become pervasive, important, and noticed. They are deployed into the world and, inevitably, something goes wrong. A badly designed interface leads to an aircraft disaster. A buggy controller delivers a lethal dose of radiation to a cancer patient. The field must then choose to mature and take responsibility for avoiding the harms associated with what it is producing.

Lately I've come to think of the list Netflix provides on its homepage of its Top 10 most popular shows and movies at any given time as the streamer's version of the roll call at the Democratic National Convention this summer: Taking it in, one can only marvel at what a big country this is and how many, many different people, with very different entertainment preferences, occupy it. Where else does one find prestige programming like The Crown and The Queen's Gambit cheek by jowl with docufiction about aliens, a Christmas movie from 20 years ago, and, always, between one and five options you're convinced don't actually exist beyond their thumbnail images? For the past week or so, the honor of most fake-seeming show on the list has belonged to something called Virgin River. In contrast to the months-long publicity campaigns that precede some Netflix releases, others, like Virgin River, just seem to show up one day, their Rotten Tomatoes pages suspiciously lacking in reviews. With its blandly scenic setting and its generically good-looking leads, Virgin River feels, even more than most Netflix shows, like it could have been generated entirely by artificial intelligence.

Researchers at USC's Viterbi School of Engineering think artificial intelligence has a future place in Hollywood's ratings process. A new AI tool is intended to rate a movie's content at the script stage, allowing screenwriters and producers to edit or adjust the screenplay to achieve the desired rating from the Motion Picture Association's ratings board, making desired changes before the movie is shot. The AI project focused on the presence of violence, drug abuse and sexual content, areas that traditionally play a role in a film's rating. The tool, researchers say, has the potential to provide instant feedback to storytellers and decision-makers. Researchers told TheWrap they are currently testing the technology with various partners to make the AI tool available soon to the general public.

What will happen when robots become smarter than humans – will they want to kill us? His name is Ilya Sutskever and he believes that super intelligent machines won't hate us, but they will prioritise their own survival. Think about the way we treat animals. We're fond of them but we don't ask their permission to build a road; it'll be like that. His analogy is an extraordinary moment in this doom-laden documentary about the future of AI from Norwegian film-maker Tonje Hessen Schei – an eye-opening film if your anxiety levels are up to it. Another interviewee jokes that AI is being developed by a few companies and a handful of governments for three purposes – "killing, spying and brainwashing" and the film then briskly rattles through the worst-case scenarios facing human civilisation.

I've had the good fortune to become friends with Timnit over the last several weeks as we've spent hours discussing the spread of mis/disinformation and hate speech on social media in Ethiopia. Our collaboration began with a frank conversation around the limitations of the AI ethics community. I felt she sincerely engaged with the critiques I raised about the representation politics in predominantly white institutions interpolating a handful of African elites as ambassadors of the Black American experience. Out of the love I got for her and this community of computer scientists, data/tech policy analysts, academics, I feel the need to be harsh and keep it real about the moral collapse of AI Ethics. If demands for corporate transparency crystalized in the Standing with Dr. Timnit Gebru Petition defines the horizon for tech worker resistance, we are doomed.