Lee Sedol, a South Korean professional Go player, smiles as he reviews his defeat with other players after finishing the final match against Google's artificial intelligence program, AlphaGo, last week in Seoul.

The recent event of Microsoft's hijacked chatbot Tay highlights that not all human creations are ingenious, some can be harmful and distasteful. The work of creating a machine learning program to learn more about how artificial intelligence programs engages with Web users in casual conversation turned out to be an unpleasant experience. The bot Tay started tweeting abuse. In the light of these events Tay was pulled off from Twitter since, what was designed to interact with web users in a good way, quickly learned to parrot a hateful speeches. Some hackers, it is believed took advantage of a vulnerability present in the AI chatbot.

Microsoft shocked us all earlier this week when it released its Tay chatbot into the world of social media. However, it didn't take long for nefarious Twitter users to poison the well by exploiting Tay's penchant for repeating statements fed to it. This "parrot" mentality is the reason why Tay went off message, calling President Barack Obama a monkey, embracing neo-Nazi rhetoric, and coming on to users with the promise of cyber sex. Microsoft of course was both mortified and embarrassed by Tay's turn to the dark side and shut down the AI program after less than 24 hours. But by that time, the damage had already been done, and the company has since apologized in a blog post entitled "Learning from Tay's introduction."

New lip-reading technology developed at the University of East Anglia could help in solving crimes and provide communication assistance for people with hearing and speech impairments. The visual speech recognition technology, created by Helen L. Bear, PhD, and Prof Richard Harvey of UEA's School of Computing Sciences, can be applied "any place where the audio isn't good enough to determine what people are saying," Bear said. Those include criminal investigations, entertainment, and especially where are there are high levels of noise, such as in cars or aircraft cockpits, she said. Bear said unique problems with determining speech arise when sound isn't available -- such as on video footage -- or if the audio is inadequate and there aren't clues to give the context of a conversation. The sounds '/p/,' '/b/,' and '/m/' all look similar on the lips, but now the machine lip-reading classification technology can differentiate between the sounds for a more accurate translation.

A company that helps users to create their own websites now knows what kind of sites their 80 million users are building without pestering them with repeated questions. Wix, a Tel Aviv-based Web development company, is using machine learning on Google's cloud platform to learn more about its users so it can help them find the images they need to build interesting and useful websites. That's just the beginning of how machine learning will be used in the cloud, according to industry analysts who say machine learning will be the biggest thing that's ever hit the cloud. David Zuckerman, head of developer experience for Wix, said machine learning in the cloud will be a boon to companies that don't have a major research division. "The cloud has brought this technology to everyone," he said.

Microsoft issued an apology for the offensive things its artificial intelligence chatbot Tay said on Twitter. As reported Microsoft had to shutdown Tay because of offensive and racist Tweets uttered by Tay. Microsoft says in the statement that they tried to prevent this behavior through filters and stress-testing. Although Microsoft had prepared for many types of abuses of the system, the researched had made a critical oversight for this specific attack. Earlier reports depicted Tay as holding a mirror in front of all Twitter users, which resulted in Tay's behavior. It was a coordinated attack by a subset of people exploited a vulnerability in Tay.

Computer that beat Go champion has many applications, says its maker. A little chalkboard sits on the reception desk of DeepMind's office in London's gentrified King's Cross. On it is scrawled: AlphaGo - 4, Lee Sedol - 1. Nearby in the lobby, a big-screen TV is flashing the words: Welcome back AlphaGo Team! But that is about as far as one can tell that the London company has just come home triumphant after making history last week by trouncing Go world champion Lee Se Dol with its supercomputer, AlphaGo. Perhaps the team already knew they were going to win the best-of- five epic showdown between man and machine in Seoul.

The UK Government has launched an inquiry into the robotics and artificial intelligence segment, to evaluate its rising influence and impact on society. The UK Government has initiated an inquiry into Robotics and Artificial Intelligence (AI), given its rising influence and daunting advancement in technology. They intend to determine what impact the rise of AI will have at a holistic level on the workforce and the society in general. Further, the corresponding social, legal and ethical aspects also need to be scrutinized. This inquiry will be carried out by the House of Commons Science and Technology Committee.

If you are one of the 40 million people who enjoy reading or writing the mostly romantic werewolf, superhero or historical fiction stories found on Canadian startup Wattpad, you may also be contributing to the development of the next generation of artificial intelligence. In a new paper called Augur: Mining Human Behaviors from Fiction to Power Interactive Systems, a group of Stanford University computer science researchers revealed that they used the Wattpad "corpus" – a collection of almost two billion words (or 600,000 chapters) written by regular people – to help a computer understand the world around it. The team intends to make the program they built, Augur, into an open-source tool that other researchers can build on. "The basic idea is that it's very difficult to program computers to understand the broad range of things that people do," says fourth-year PhD student Ethan Fast, co-author of the paper (published as part of the upcoming Computer Human Interaction conference) and a member of Stanford's Human-Computer Interaction Group. "Fiction has a lot of useful things to say about the world, and if you have enough of it, you can model it in much more depth than you could hope to manually."

The result is uncanny – the robo-kitchen appears to pause and think between stages, just as a human chef would do. Yet it is not unsettling. "Many people who watch the robot have an emotional reaction to it," says Alina Isachenka, Moley's operations manager. "It was really important to make sure it wasn't scary. It would have been more cost-efficient to use a two or three-fingered gripper, but people may be scared by that – they don't want a two-fingered robot in their kitchen.