Editor's note: Business Insider has been talking with Waymo employees from different parts of the company to learn more about their work. What we discovered were some of the coolest jobs at Alphabet, Waymo's parent company. This is the fourth profile in the series. To read the others, click here. In 2014, when what was then widely known as the Google Car project unveiled an actual vehicle that it had designed and built itself, it was a shot across the bow of the global auto industry. Up to that point, the undertaking -- internally referred to as "Chauffeur" -- struck everybody outside the Googleplex in Mountain View, California, as a rather elaborate science project.

The City of Ottawa has announced a new plan to pilot Microsoft's Power Virtual Agent to increase the accessibility of its 311 services. Built in collaboration with Microsoft, Ottawa will begin piloting its new 311 AI chatbot in the first quarter of 2020. Users will be able to enter questions about the city's services and receive immediate answers in a conversational format. "We will progressively cover more and more topics over time," said Marc Rene de Cotret, director of service transformation for the City of Ottawa, to IT World Canada. "Eventually, I could see us migrate into more task-based things like maybe filling out an application for your permit or license."

LAS VEGAS (Reuters) - As vehicles get smarter, your car will be keeping eyes on you. This week at CES, the international consumer electronics show in Las Vegas, a host of startup companies will demonstrate to global automakers how the sensor technology that watches and analyzes drivers, passengers and objects in cars will mean enhanced safety in the short-term, and revenue opportunities in the future. Whether by generating alerts about drowsiness, unfastened seat belts or wallets left in the backseat, the emerging technology aims not only to cut back on distracted driving and other undesirable behavior, but eventually help automakers and ride-hailing companies make money from data generated inside the vehicle. In-car sensor technology is deemed critical to the full deployment of self-driving cars, which analysts say is still likely years away in the United States. Right now, self-driving cars are still mainly at the testing stage.

We are developing novel statistical methods and machine learning approaches to interrogate EHR databases to identify the best treatment strategies and risk factors for a variety of diseases using real-world evidence,

Artificial intelligence has already started to shape our lives in ubiquitous and occasionally invisible ways. In its new documentary, In The Age of AI, FRONTLINE examines the promise and peril this technology. AI systems are being deployed by hiring managers, courts, law enforcement, and hospitals -- sometimes without the knowledge of the people being screened. And while these systems were initially lauded for being more objective than humans, it's fast becoming clear that the algorithms harbor bias, too. It's an issue Joy Buolamwini, a graduate researcher at the Massachusetts Institute of Technology, knows about firsthand. She founded the Algorithmic Justice League to draw attention to the issue, and earlier this year she testified at a congressional hearing on the impact of facial recognition technology on civil rights. "One of the major issues with algorithmic bias is you may not know it's happening," Buolamwini told FRONTLINE.

NIOSH has started an open competition for artificial intelligence programmers as part of a search for ways to automate data processing in occupational safety and health surveillance systems. In an Oct. 24 press release, the agency describes injury recording as "a person writing a narrative about the incident," adding that someone else then reads these narratives and assigns codes to classify the injuries, "which has resulted in time, cost and the risk of human error influencing occupational safety and health data." NIOSH, in conjunction with the NASA Tournament Lab and a crowdsourcing vendor, is asking programmers to develop an algorithm that uses AI to read the injury reports and code them according to the Occupational Injury and Illness Classification System. "We're thrilled to be hosting this competition along with our partners," Carlos Siordia, lead project officer at NIOSH, said in the release. "Not only do these partnerships help support our extramural crowdsourcing AI competition, but they can also support others at [the Centers for Disease Control and Prevention] who want to crowdsource software programming to come up with the most innovative and efficient solutions to improve public health."

Just not as first envisioned. The business model of this Google sister company is based on monitoring people's movements and connecting the dots. But this week, before signing on the dotted line, Toronto tried to turn the tables on Sidewalk Labs. Now, the watcher is being watched and its surveillance is under scrutiny. That is as it should be.

Artificial Intelligence (AI) has the peculiar ability to simultaneously amaze, enthrall, leave us gasping and intimidate. The possibilities of AI are innumerable and they easily surpass our most artistically fecund imaginations. What all we read in science fiction novels or saw in movies like'The Matrix' could someday materialize into reality. Bill Gates, the founder of Microsoft, recently said that'AI can be our friend' and is good for the society. From decision-making to computing to robotics to vehicles and even cosmetics, AI has left its mark everywhere and it will usher in the grandest social engineering experiment in the history of the world.

Raw video: Cameras mounted inside the car catches the fatal moment. Authorites are investigating the cause of the crash. The National Transportation Safety Board (NTSB) says that an Uber self-driving car that struck and killed a pedestrian in Arizona in 2018 was unable to detect jaywalkers. Elaine Herzberg died in March 2018 when an Uber vehicle struck her as she walked across a darkened street in Tempe. The board said the Uber autonomous driving system spotted Herzberg before hitting her but a system used to automatically apply brakes in potentially dangerous situations had been automatically disabled.

From machine learning basics articles to interesting ML news and academic papers, this list has something for both beginners and those more well-versed in the field. The articles below should help strengthen your knowledge of basic AI concepts and keep you up to date on trending AI topics. AI Terms Every Beginner Should Know - This article on Towards Data Science introduces and explains 14 abbreviations commonly used in the field of machine learning. From broad AI concepts to specific types of neural networks and specialized fields, this article contains concise explanations, helpful visual aids and links to more detailed explanations of each term. The Difference Between AI, ML, and DL - Artificial intelligence and machine learning are terms often used interchangeably.