The future of work looks grim for many people. A recent study from Forrester estimated that 10% of U.S. jobs would be automated this year, and another from McKinsey estimates that close to half of all U.S. jobs may be automated in the next decade. The jobs that are likely to be automated are repetitive and routine. They range from reading X-rays (human radiologists may soon have much more limited roles), to truck driving, to stocking a warehouse. While much has been written about the sorts of jobs that are likely to be eliminated, another perspective that has not been examined in as much detail is to ask not which jobs will be eliminated but rather which aspects of surviving jobs will be replaced by machines.

Artificial intelligence (AI) is advancing, though perhaps not as fast as the hype cycles would have us believe. But we are starting to see AI being applied to tasks typically done by humans, including more intelligent chatbots that can answer first- and even second-level customer service requests, smart software bots automating business process tasks and pilot projects involving autonomous vehicles. It is these vehicles that have captured the popular imagination. Proponents envision a world in which deaths caused by speeding, distracted driving, fatigue, drunk driving and other human errors can be dramatically reduced. This is a world of ride-sharing, a world where elderly and disabled populations gain mobility, a world where many people, particularly in urban centers, won't even buy cars anymore.

Research shows that we aren't collecting sex disaggregated data about women and, as a result, the world that surrounds us is designed for men. This shocking video by Plan International Norway looks at the tangible ways women and girls' lives are placed at risk by inequality. The video begins with a woman being told she's pregnant by a doctor, who follows up by telling her abortion is illegal in the country in which she resides. It's a horrifying moment -- but one that women in countries or states with total bans or restrictive abortion laws might identify with. The next scene of the video explores the impact of Google's speech-recognition software, which a researcher at the University of Washington found to be 70 percent more likely to accurately recognise male speech.

Yi Yake and his boyhood friends grew up in a farming village in central China, swinging sickles to harvest the family wheat crop. Yi got a job marketing computer games. His friend worked in a fireworks store. Today Yi drives a white BMW and, along with two childhood buddies, employs over 200 people in what is quickly becoming a boom industry in China -- artificial intelligence. Their company, located in a city near their parents' village in Henan province, provides an essential early service in the AI process, labeling images and videos to help make computers smarter.

Their company, located in a city near their parents' village in Henan province, provides an essential early service in the AI process, labeling images and videos to help make computers smarter. Before a self-driving car can learn to avoid hitting people or trees, it must learn what people and trees look like -- by digesting thousands of images labeled by thousands of humans. Demand for labeling is exploding in China as large tech companies, banks and others attempt to use AI to improve their products and services. Many of these companies are clustered in big cities like Beijing and Shanghai, but the lower-tech labeling business is spreading some of the new-tech money out to smaller towns, providing jobs beyond agriculture and manufacturing. The science is mired in controversy in China, where the ruling Communist Party is using AI to help it identify and track people in mass-surveillance programs, most prominently in the largely Muslim province of Xinjiang, according to Human Rights Watch.

On Wednesday, Sens. Ron Wyden and Cory Booker and Rep. Yvette Clarke introduced the Algorithmic Accountability Act, indicating policymakers' increasing concern that artificial intelligence is magnifying human bias in tools such as facial recognition, self-driving cars, customer service, marketing, and content moderation. While A.I. has incredible potential to improve our lives, the truth is that it is only capable of reflecting our societal problems right back at us. And because of that, we can't trust it to make important decisions that are susceptible to human prejudice. Even the most enlightened of humans have deep-seated biases. Difficult to identify, they are even harder to correct.

Anyone with an Amazon Web Services account can participate in the league. Teams or individuals can compete online in "virtual" races or in person at events world-wide. Teams build and train AI algorithms using Amazon SageMaker software, deploy them to self-driving cars measuring about 10 inches, then race them around a track of roughly 17 feet by 26 feet. "It's actually having practical applications," said James Rhodes, chief technology officer of investment research firm Morningstar. Thanks to the training, the company expects to have dozens of projects based on reinforcement learning and other machine-learning techniques in deployment by the end of 2020, he said.

Tesla has quietly acquired an artificial intelligence company to build out its Autopilot autonomous driving system. Tesla this week closed the acquisition of DeepScale, a company that uses sophisticated "deep neural networks" and other aspects of artificial intelligence to help a vehicle's in-car autonomous driving technology more effectively "see" what's around it. The news was first reported by CNBC, who cited sources claiming Tesla had acquired DeepScale. Tesla did not respond to Fortune's request for comment, and has so far remained quiet on the acquisition's details, but DeepScale CEO Forrest Iandola updated his LinkedIn account on Tuesday, saying that he has joined Tesla's Autopilot team to work on deep learning and autonomous driving. Tesla makes small acquisitions from time to time, but DeepScale appears to be its most significant acquisition since February, when the company announced that it would acquire Maxwell Technologies to improve its battery technology.

The artificial intelligence race has kept the world watching in rapt attention. Will the People's Republic of China beat the United States of America? If so, what are the implications? Kai-fu Lee, a former executive at Apple, SGI, Microsoft, and Google, argues in his novel AI Superpowers that China will outpace America in terms of AI development thanks to abundant data, eager entrepreneurs, well-educated and trained scientists, and a supportive policy landscape. However, the debate must be reframed: it's not a battle between the United States and China, but it instead appears to be a tug-of-war between seven technology companies--Google, Amazon, Facebook, and Microsoft on the American team and Alibaba, Baidu, and Tencent on the Chinese side.

Robots are taking wages from American workers. A new study from the Federal Reserve Bank has found that the portion of national income give to human employees has dramatically decreased as automation continues to increase. The study suggests that employees that employees feel they have lost their bargaining power when it comes to asking for a raise out of fear they may be replaced by a robot. A new study from the Federal Reserve Bank has found that the portion of national income has dramatically decreased as automation continues to increase. 'Businesses have more options to automate hard-to-fill positions now than in the past,' the study authors write.