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When women are over-represented in the workforce, it tends be in industries of assistance – cleaning, nursing, secretarial work and, now, the world of virtual assistants. Research by Unesco has shown that using default female voices in AI – as Microsoft has done with Cortana, Amazon with Alexa, Google with Google Assistant and Apple with Siri – is furthering the belief that women exist merely to help men to get on with more important things. There is no real reason for AI technologies to be gendered at all, but we are at the mercy of tech companies "staffed by overwhelmingly male engineering teams", fixated on living out a Captain Kirk fantasy and delegating to the subservient, silky-voiced computers of Star Trek. These systems are unapologetically built by men, for men. They can even struggle to understand the "breathy" voices of women as software is often developed with male voice samples.

Want to add more video to your content mix? Have you considered repurposing your blog content into video? There's no need to spend hours recording video with an expensive camera when you have existing content and access to free tools. In this article, you'll learn how to use free tools to turn blog posts into videos you can share on social media. You can turn a blog post into a video pretty easily by building a slideshow presentation that communicates key ideas and converting that slideshow into a video file.

Welcome to EURACTIV's Digital Brief, your weekly update on all things digital in the EU. You can subscribe to the newsletter here. With the Brits and the Dutch heading to the polls today, the big news of the week is the story that Facebook has removed around 80 pages spreading fake news or using tactics aimed at unfairly influencing the polls. The takedowns came following a discovery by the human rights group Avaaz, in which it uncovered far-right disinformation networks in France, UK, Germany, Spain, Italy and Poland, posting content that was viewed an estimated 533 million times over the past three months. EURACTIV Digital went to investigate further and paid Avaaz a visit at their recently opened'Citizens' War Room' in Brussels (pictured below).

In the last 10 years, we've seen some significant breakthroughs in the domain of artificial intelligence (AI) and machine learning. In 2011, IBM Watson showed the world that it can be a reality TV show winner. In 2014, Google acquired an AI company called DeepMind, and one of its project, AlphaGo, beat the European Go champion in 2015. In 2016, Google made its TensorFlow library open source, which made machine learning accessible to the masses. Last year, people were left dumbfounded when Google Duplex made a haircut appointment over the phone.

Disinformation and Fake News are hardly anything new but the power of both is increasing exponentially because of the power of social media. Websites like Twitter and Facebook serve up information, images and events based on what they know about our likes, dislikes and desires, thereby supporting our prejudices and undermining open and tolerant debate. But Fake News is yesterday's news. Deep Fakes is where Fake News might be moving next and Deep Fakes could be have a bigger impact and even harder to spot, address or undermine. Deep Fakes is the use of deep learning – a branch of machine learning or artificial intelligence – to marry digital images with fake or forged audio files.

Deep learning is increasingly capable of assessing the emotion of human faces, looking across an image to estimate how happy or sad the people in it appear to be. What if this could be applied to television news, estimating the average emotion of all of the human faces seen on the news over the course of a week? While AI-based facial sentiment assessment is still very much an active area of research, an experiment using Google's cloud AI to analyze a week's worth of television news coverage from the Internet Archive's Television News Archive demonstrates that even within the limitations of today's tools, there is a lot of visual sentiment in television news. To better understand the facial emotion of television, CNN, MSNBC and Fox News and the morning and evening broadcasts of San Francisco affiliates KGO (ABC), KPIX (CBS), KNTV (NBC) and KQED (PBS) from April 15 to April 22, 2019, totaling 812 hours of television news, were analyzed using Google's Vision AI image understanding API with all of its features enabled, including facial detection. Facial detection is very different from facial recognition. It only counts that a human face is present in an image, it does not actually attempt to discern who that person is.

A security company might seem like an improbable early adopter of artificial intelligence (AI) technologies.

Artificial intelligence has long been thought of in terms similar to that of fusion power -- it's always 20 years away. Outside, it was a normal morning. Inside, looking out the window and barely noticing the chickadee, the business woman, a manager at a large call center downtown, waited for her morning coffee. It was a short wait. Her coffee maker knew that she woke at 5:30 a.m. It knew that because the alarm clock in the woman's bedroom sensed her movement and saved that information to the woman's Amazon Web Services (AWS) account. The coffee maker, also tied to that AWS account, took the hint and turned itself on. Ten minutes later, the shower came on in the bathroom. This also was noted by the house's systems and that data point was duly recorded by the woman's AWS account. That was the next cue for the coffee maker. It was plumbed directly into the house's water lines, and it opened the valve and filled itself with just the right amount of water to brew the coffee. It was brewing as the woman dressed, and five minutes after the woman appeared, the coffee was delivered to her by her Boston Dynamics personal assistant. She took a sip, just as the chickadee flew away. It was now 6:30 a.m., and time to leave for the office. Just like every other weekday, it would be a peaceful commute. As she left her apartment building and the door closed behind her, her ride was just pulling up to the curb.

Amazon might want to consider placing more of its delivery drivers in uniforms, based on a comment from one of its higher-profile customers. Ice T, the rapper who later became a TV star on "Law & Order: SVU," posted a tweet on Tuesday claiming he almost shot one of the tech giant's drivers who was "creeping up to my crib" the night before to complete a delivery. "Message To Amazon: Now that you have regular people making your home deliveries.. Maybe they should wear a Vest with AMAZON DELIVERY on it," said Ice T on Twitter. In a follow-up tweet, Ice T said he wasn't mad at the delivery person but noted it's not safe for the drivers to operate without some type of uniform. Message To Amazon: Now that you have regular people making your home deliveries.. Maybe they should wear a Vest with AMAZON DELIVERY on it..... Amazon customer service reached out to Ice T on Twitter, saying his comments would be escalated to the company's logistics team for review.