In the frantic race for artificial intelligence, driven by GAFA[1], with its increasingly efficient algorithms and ever-faster automated decisions, engineering is king, supporting this highly-prized form of innovation. So, does philosophy still have a role to play in this technological world that places progress at the heart of every objective? Armen Khatchatourov, a researcher in philosophy at Télécom École de Management, describes his own approach as acting as "an observer who needs to keep his distance from the general hype over anything new". Over the past several years he has worked on human-computer interactions and the issues of artificial intelligence (AI), examining the potentially negative effects of automation. In particular, he analyses the problematic issues arising from legal frameworks established to govern AI. His particular focus is on "ethics by design".

When I left Big Firm, it was for personal reasons. I did not leave shaking my fist at a horrible culture and history of injustice. I did not experience that. I started thinking about a professional life staring at a different set of walls. I began to question my place in the Big Firm ecosystem and whether I could succeed without the safety net. For many attorneys, the choice will not be theirs to make.

The way Facebook is designed means people are destined to fall out and suffer severe emotional wounding, claims one professor. The site forces people to talk carelessly and not listen to each other, according to Glenn Sparks. And because people are "friends" with so many people, there are a lot of people to fall out with and users experiences traumatic scenarios as a result, the professor and communications expert claimed. All of that happens because the site is terrible at letting people talk with nuance, he said. That means that people are unable to express their feelings about politics or other sensitive topics properly – and end up falling out.

A new app promises to let people take selfies with anyone they like – including dead people or celebrities. ELROIS, a South Korean company, only needs a 3D scan of any person's face for its "With Me" app. Once it has one, it can'resurrect' that person – allowing them to react to what you say and move around, as well as letting you take pictures with them. The app has been explicitly created to allow people to recreate the image and personality of someone who has passed away, according to its creators. They said that it is a way of overcoming a broken heart by interacting with a virtual recreation of their deceased loved ones.

Without a doubt, 2016 was an amazing year for Machine Learning (ML) and Artificial Intelligence (AI) awareness in the press. But most people probably can't name 3 applications for machine learning, other than self-driving cars and perhaps their voice activated assistant hiding in their phone. There's also a lot of confusion about where the Artificial Intelligence program actually exists. When you ask Siri to play a song or tell you what the weather will be like tomorrow, does "she" live in your phone or in the Apple cloud? And while you ponder those obscure question, many investors and technology recommenders are trying to determine whether,,, or will provide the best underlying hardware chips, for which application and why.

From Netflix recommendations to credit card fraud detection, artificial intelligence (AI) is already part of our daily lives. But as AI expands, where do we draw the line on how intimate we become with this new technology?

I recently spoke with Michael Finley, Head of Machine Learning at BI software company AnswerRocket, who helped elaborate. Before machine learning, most software "ran the way it was programmed: people turned instructions into computer code, and the computer did what that code told it to do." A very simple example would be a calculator: you fed the calculator numbers, told it what to do (add, subtract), and the calculator gave you results. With machine learning, however, the software can adapt. Finley continues: "Software with machine learning doesn't do the same thing the day you install it as it does the tenth or hundredth day you run it."

We did this for decades. There are better methods now. How well can this be done? What are the risks involved? Predicting Marketing Campaign Response Using Amazon Machine Learning by Chris Mohritz Today, marketers are challenged with higher expectations and thinner budgets.

AI/Robotics-focused venture capital firm and research lab COMET LABS' co-founder Liu Wei has been hired by BAIDU VENTURES as its new CEO. Baidu Ventures is the independent investment arm of the Chinese technology conglomerate, Baidu. As the new CEO of Baidu Ventures, Wei will be leading investments and strategic partnerships for the firm with a strong focus on developing new artificial intelligence technologies. Additionally, Wei and Baidu Ventures will be strengthening their partnership with Comet Labs both in the United States and in China. Baidu Ventures has committed resources and talent to enhance Comet Labs' industry-focused accelerator programs, beginning with the Transportation Lab that was recently opened for startup applications.

The use of artificial intelligence (AI) could add a whopping £654bn to the UK economy, according to a report published by Accenture. Perhaps this is why the government announced late last week that it would pump approximately £20m into developing and researching AI and robotics as part of its long-awaited Digital Strategy. The technology, which could potentially render almost half a million public sector workers unemployed over the next 15 years, has been credited with helping organisations save time and money – both attractive propositions for governments across the globe. With this in mind, here are four examples of how the UK public sector has delved into the world of AI in recent times. The Serious Fraud Office used AI for the first time in its landmark investigation of Rolls Royce, which saw the car manufacturer found guilty of bribery and corruption in January this year.