The concern is so prevalent that new responsible A.I. measures have been floated by federal government, requiring companies to vet for these biases and to run systems past humans to avoid them. Ray Eitel-Porter, managing director and global lead for responsible A.I. at Accenture, outlined during a virtual event hosted by Fortune on Thursday that the tech consulting firm operates around four "pillars" for implementing A.I.: principles and governance, policies and controls, technology and platforms, and culture and training. "The four pillars basically came from our engagement with a number of clients in this area and really recognizing where people are in their journey," he said. "Most of the time now, that's really about how you take your principles and put them into practice." Many companies these days have an A.I. framework.

This Specialization is intended for beginners seeking to enter the artificial intelligence world. Through five courses, you will cover artificial intelligence technical groundings (including machine learning and technologies), ethical and legal issues, which will give you a clear picture of what artificial intelligence is and what opportunities artificial intelligence will provide in the next future.

Is your agency ready for artificial intelligence (AI)? If not, what would it take to get to a place where it can enjoy the benefits of AI? A government agency's readiness for AI is not simply a question of preparing to buy and install new technology. The transformative nature of AI typically calls for preparation across multiple critical areas. To capture AI's potential to create value, government organizations will need a plan to retool the relevant existing processes, upskill or hire key staff, refine approaches toward partnership, and develop the necessary data and technical infrastructure to deploy AI.

As it turns out, AI is starting to truly become mainstream and 2017 looks like it's going to be full of new technologies and platforms. During the past year we've seen many new companies dealing with this, including the grand opening of Open AI (which has already shipped some pretty interesting papers), quite a few startups on the subject, a huge amount of FUD concerning self-driving cars and, of course, the rise of the mighty chatbot. Just like it happened with the popularization of countless technologies before, there's always people who buy way too much into the hype and out come the tinfoil hats. There's already talk of how AI is making humans obsolete and that we're like two days away from giant floating heads in the sky demanding we show them what we got. The reality, however, is somewhat different.