In the\u00a0Artificial Intelligence Bulletin \u2013\u00a0Journalism’s Robo-writers\u00a0we see robo-writers invading journalism, AI that debates us, changes in America’s heartland, advertising, and building solutions in the bubble.The rise of robo-writersAs of September 2017,\u00a0The Washington Post\u00a0had relied on its artificial intelligence to generate an astounding\u00a0850 pieces of content\u00a0over the previous year. The robo-writer made its debut by auto-publishing reports on the Rio Olympics. Many of Heliograf’s stories were on D.C.-area high school football games, while others were tweets or Election Day reporting on congressional and gubernatorial races.The Washington Post\u00a0certainly isn’t the only news outlet taking advantage of artificial intelligence.\u00a0The Associated Press\u00a0has relied on robo-writers to generate earnings coverage and niche sports stories, while\u00a0USA Today\u00a0has turned to video software to make short videos complete with narration by a synthesized voice,\u00a0Digiday\u00a0reports. Last summer, Google gave a British news agency an $805,000 grant to develop software capable of creating\u00a0more than 30,000\u00a0local news stories each monthRead more at The WeekIBM’s new AI supercomputer can argue, rebut and debate humansThe company known for building supercomputers that can defeat grand master chess players and champion Jeopardy contestants, hosted another Man vs. Machine contest in San Francisco on Monday. A system that IBM calls Project Debater faced off against two humans in two separate debates.The verdict: Humans are still ahead, but the gap is closing.Who won was almost beside the point. What mattered most is that this is the first artificial intelligence system to demonstrate the ability to argue. According to IBM, the technology represents a breakthrough in equipping computers with the ability to ” truly understand language” and then be “expressive.”Read more at Business InsiderFrom rust belt to robot belt: Turning AI into jobs in the US heartlandThe symbolism of robots moving into a former steelworks is lost on few people in the city. Pittsburgh is reinventing itself, using the advances in automation, robots, and artificial intelligence coming out of its schools\u2014particularly Carnegie Mellon University (CMU)\u2014to try to create a high-tech economy. Lawrenceville, five miles from Hazelwood, has become a center for US development of self-driving cars. Uber Advanced Technologies occupies a handful of industrial buildings; self-driving startups Argo AI and Aurora Innovation are nearby. Even Caterpillar has set up shop, working on autonomous backhoes and other heavy machines that could one day operate themselves.Read more at MIT Technology ReviewA Crossroads: Artificial Intelligence And AdvertisingWhile digital advertising currently makes up the lion’s share of brand and agency advertising spending, traditional radio and television companies are fighting back in a big way thanks to artificial intelligence. Developments in natural language processing, logo recognition, object detection and other AI technologies have enabled radio and television broadcasters to bring structure to a medium that has been heretofore impossible. With every word, logo, object and face indexed in near real-time, radio and television content becomes just as searchable, trackable and actionable as digital content. This is critical because without true structure — a temporal record of exactly what aired — agencies and brands had been struggling to successfully target, engage and unlock the value hidden within radio and TV. Now, with AI, legacy challenges have fast blossomed into new opportunities and there is plenty of nectar to go around.Read more at ForbesArtificial intelligence is in a bubble: Here\u2019s why we should build it anywaySo what\u2019s the best way to forge ahead? From my perspective, the answer lies in thinking big, but starting small. Renowned systems thinker John Gall once wrote, \u201cA complex system that works is invariably found to have evolved from a simple system that worked.\u201d\u00a0Mr. Gall\u2019s got a good point: Until we get the basics right, we can\u2019t move onto the things that will either meet or surpass our expectations.This ultimately requires both the startups and big businesses developing AI systems to take a long-term view, swapping out the promise of shiny things for an appreciation of realistic timelines. Through collaboration, technology and business experts can keep expectations high while still iterating step-by-step toward an organization\u2019s long-term AI vision.Read more at Globe and MailNikolas Badminton is a world-leading Futurist Speaker and is available to speak at your event.\u00a0Contact him\u00a0to discuss how to engage and inspire your audience. You can also see more of Nikolas\u2019 thoughts on my Futurist Speaker VLOGs as he published them in this\u00a0Youtube playlist. Please\u00a0SUBSCRIBE\u00a0to my Youtube channel so that you don\u2019t miss any as they come up. You can see more of his thoughts on\u00a0Instagram,\u00a0Twitter, and bookmarked research on\u00a0Tumblr.