The end of the year is usually the time when media outlets do bests of, of their own stuff. At We the Talent, we praise ourselves to be a little bit more humble than that, so we gathered 10 articles from the web we really loved this year.

Why working from home should be standard practice

In September, Ari Surdoval wrote this article on ideas.ted.com. Surdoval bases himself on economics professor Nicholas Bloom’s study.

How to Regulate Artificial Intelligence

Oren Etzioni, expert in artificial intelligence and hundreds of other domains mimicked Isaac Asimov’s Three Laws of Robotics and came up with three rules to respect in order to regulate Artificial Intelligence.

‘How can schools use data and artificial intelligence to broaden education and break down barriers for pupils?’

To paraphrase former US secretary of education Richard Riley, we are currently preparing students for jobs that don’t yet exist, using technologies that haven’t yet been invented to solve problems we don’t even know are problems yet. Beautiful piece of content by Fergal Kilroy for Raconteur.

In Silicon Valley, Working 9 to 5 Is for Losers

Silicon Valley prides itself on “thinking different.” So maybe it makes sense that just as a lot of industries have begun paying more attention to work-life balance, Silicon Valley is taking the opposite approach — and branding workaholism as a desirable lifestyle choice. By Dan Lyons.

A Job Plan for Robots and Humans

Melonee Wise’s startup Fetch Robotics employs about 50 people and more than 125 robots. She intends to create many more jobs for both.

Where human intelligence outperforms AI

 With every new trend comes a counter-trend. And so despite the current excitement over the wonders of artificial intelligence, one company is betting that human intelligence can still deliver solutions for businesses that AI cannot hope to match. Published on TechCrunch by David Kline.

6 ways to make sure AI creates jobs for all and not the few

Whenever Stephane Kasriel talks to people about the potential impact of artificial intelligence (AI) and robotics, it’s clear there is a lot of anxiety surrounding these developments.

Please Prove You’re Not a Robot

To be sure people don’t talk to robots without knowing it, Tim Wu thinks we can’t leave the problem to the tech industry alone.

The Difference Between Artificial Intelligence, Machine Learning, and Deep Learning

Simple explanations of Artificial Intelligence, Machine Learning, and Deep Learning and how they’re all different. Plus, how AI and IoT are inextricably connected. Written by Calum McClelland.

There Is One Thing Computers Will Never Beat Us At

For the longest time, one question has lingered: what will automation do to human workforce as computers get better and better? Entrepreneur Azeem Azhar thinks he has the answer.

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Ebook-Manufacturing

[Ebook] Talent Management Must Evolve to Meet the Global Skills Gap in Manufacturing

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