In a previous article I introduced a concept of a Creative Intelligence (CI) as either a human or AI that produces creative output. I introduced the term Intelligence Director (ID) as the one who directs the CI towards a goal. I introduced the concept of a Constraint Language (CL) as a language used for constraining the CI working on a given task. This article builds on the previous, and focuses more on constraints and why they are so important for creativity. It is well known that constraints and art go hand in hand.

Picsart is looking for a Machine Learning Scientist who is interested in developing cutting edge technologies for real-world computer vision problems. The Creative Intelligence team is mainly working on image effects and content generation. The ideal candidate will be equally comfortable with theoretical thinking, coding and academic writing.

So there's a blend of anticipation and dread within a wide range of organizations and industries--and public-sector agencies are no exception.4 Conversations with government executives suggest that most lack a clear vision of how AI applications might affect their staff and missions, which is understandable, since prior research hardly offers an actionable forecast. The US Bureau of Labor Statistics optimistically predicts that government workforces will see almost no job losses between now and 2024,5 while a recent study by Deloitte-UK and Oxford University suggests that up to 18 percent of UK public-sector jobs could be automated by 2030.6 We've attempted to bring clarity to the confusion, for agency chiefs looking to future workforce needs. Our view is that the key to planning ahead is understanding how much time cognitive technologies could save. And indeed, our research, based on a new method for studying AI-based technology's effects on government workforces, indicates that cognitive technologies could free up large numbers of labor hours by automating certain tasks and allowing managers to shift employees to tasks requiring human judgment. These new applications could save hundreds of millions of staff hours and billions of dollars annually.

This post originally published on Medium; it is republished here with permission. The word robot was coined by Czech author Karel Čapek, who used it in his 1921 play R.U.R. to describe a fleet of intelligent machines. He named his invention based on the Slavonic word "rabota," which means labor. More tellingly, rabota is also the root of the word "rob," or slave. It's interesting to note that today, robotics and automation promise to do away with some of the most tedious, repetitive tasks we love to hate. Take telemarketing, for example--one of the most slave-like occupations in the 21st century.

"The robots are coming for your jobs!" That was the gist of numerous news reports following the release of the 2016 U.S. Economic Report of the President. My first thought on reading this was that anyone who saw the videos of clumsy robots falling helplessly during the recent DARPA Robotics Challenge must have been incredulous: "That's what's coming after my job!?" My second thought was more sobering. Robots are, after all, only a subset of the computerization leading to the automation of traditional jobs. As engineers we can see steady progress in machine learning, artificial intelligence, and big data.