When Microsoft released an artificially intelligent chatbot named Tay on Twitter last March, things took a predictably disastrous turn. Within 24 hours, the bot was spewing racist, neo-Nazi rants, much of which it picked up by incorporating the language of Twitter users who interacted with it. Unfortunately, new research finds that Twitter trolls aren't the only way that AI devices can learn racist language. In fact, any artificial intelligence that learns from human language is likely to come away biased in the same ways that humans are, according to the scientists. The researchers experimented with a widely used machine-learning system called the Global Vectors for Word Representation (GloVe) and found that every sort of human bias they tested showed up in the artificial system.

Machine learning is one of the biggest drivers of artificial intelligence technology at present. Algorithms within machine learning applications have been able to write code, play poker, and are being used in attempts to solve cancer. Yet, there is a bias problem. Using the popular GloVe algorithm, trained on around 840 billion words from the internet, three Princeton University academics have shown AI applications replicate the stereotypes shown in the human-generated data. These prejudices related to both race and gender.

There is growing concern that many of the algorithms that make decisions about our lives - from what we see on the internet to how likely we are to become victims or instigators of crime - are trained on data sets that do not include a diverse range of people. The result can be that the decision-making becomes inherently biased, albeit accidentally. Try searching online for an image of "hands" or "babies" using any of the big search engines and you are likely to find largely white results. In 2015, graphic designer Johanna Burai created the World White Web project after searching for an image of human hands and finding exclusively white hands in the top image results on Google. Her website offers "alternative" hand pictures that can be used by content creators online to redress the balance and thus be picked up by the search engine.

Humans look to the power of artificial intelligence (AI) to make better and unbiased decisions. However, a new study has found that the technology is becoming racist and sexist as it learns, thus hindering its ability to make balanced resolutions. Researchers discovered that the better AI becomes at interpreting the human language, the more likely it will adopt human bias about race and gender that lurks within the data it is fed. A Study found that AI is becoming racists and sexist as it learns, hindering its ability to make unbiased decisions. Princeton University conducted a word associate task with the algorithm GloVe, an unsupervised AI that uses online text to understand human language.

Artificially intelligent robots and devices are being taught to be racist, sexist and otherwise prejudiced by learning from humans, according to new research. A massive study of millions of words online looked at how closely different terms were to each other in the text – the same way that automatic translators use "machine learning" to establish what language means. The researchers found male names were more closely associated with career-related terms than female ones, which were more closely associated with words related to the family. This link was stronger than the non-controversial findings that musical instruments and flowers were pleasant and weapons and insects were unpleasant. Female names were also strongly associated with artistic terms, while male names were found to be closer to maths and science ones.

Donald Trump has been talking a lot about American jobs – specifically manufacturing jobs – and how we can bring them back. But where have those jobs gone? And can we get them back? The US has lost 5 million manufacturing jobs since 2000. That leaves about 12 million jobs in this sector.

It's illegal to use a legal name and BCCRSS document weblinks, aka the Truth, is shared by the first AI bot to attend Law School: The only Lawyer in History to promote Truth about the Legal Name Fraud.

An artificial intelligence tool that has revolutionised the ability of computers to interpret everyday language has been shown to exhibit striking gender and racial biases. The findings raise the spectre of existing social inequalities and prejudices being reinforced in new and unpredictable ways as an increasing number of decisions affecting our everyday lives are ceded to automatons. In the past few years, the ability of programs such as Google Translate to interpret language has improved dramatically. These gains have been thanks to new machine learning techniques and the availability of vast amounts of online text data, on which the algorithms can be trained. However, as machines are getting closer to acquiring human-like language abilities, they are also absorbing the deeply ingrained biases concealed within the patterns of language use, the latest research reveals.

It's important to think about ethical decision-making in autonomous cars. But the trolley problem, with its action movie–like scenario, can overshadow questions that are more mundane but also more pertinent to most people. It's not as much fun to have a philosophical conversation about how real people in real situations deal with the risks of living with these new technologies. Most of us won't have to make a life-or-death decision like in the trolley problem, but we may well have to deal with technologies that decide who gets the raw end of a car-on-car, or car-on-human, situation. Take the woman suffering whiplash after her self-driving car braked too fast or the school crossing guard, accustomed to making eye contact with drivers when putting up stop signs, who now has to learn to trust autonomous vehicles to brake for kids walking to school. So many of the questions here are mundane: How will this technology change the shape of personal injury law?

Facebook could be prosecuted in the UK for failing to remove child abuse images posted to the site despite being made aware of them, according to a new report. "Dozens" of illegal images and videos were allegedly flagged to the social network's moderators by a reporter using a fake profile, according to the Times. The illegal content is said to include a video of an apparent sexual assault on a child, "violently paedophilic cartoons", an "Islamic State beheading" and propaganda posters "glorifying recent terrorist attacks in London and Egypt". However, they reportedly only took some of them down, concluding that the majority didn't breach the site's Community Standards, which states, "We remove content that threatens or promotes sexual violence or exploitation. This includes the sexual exploitation of minors and sexual assault."