The Order of Canada marks its 50th anniversary this year with 99 new appointments on its Canada Day honours list, including renowned figures from the fields of law, government, entertainment and sport, as well as Canadians whose contributions are less widely known. The list includes soccer star Christine Sinclair, television host Alex Trebek, actor Catherine O'Hara and Globe and Mail editorial cartoonist Brian Gable. Three people were named to the highest rank, Companion of the Order of Canada: former Supreme Court Justice Marshall Rothstein, National Arts Centre president Peter Herrndorf and The Prince of Wales. Nineeteen people were named Officers of the Order of Canada, including former spymaster Richard Fadden, hockey player Mark Messier and actor Michael Myers. There were 77 people named as members of the Order, including opera singer Tracy Dahl, historian Bill Waiser, public health nurse Cathy Crowe and Indigenous leader Terrance Paul.

Summary: Deep learning and Big Data are being adopted in law enforcement and criminal justice at an unprecedented rate. Does this scare you or make you feel safe? When you read the title, whether your mind immediately went for the upstairs "H" or the downstairs "H" probably says something about whether the new applications of Big Data in law enforcement let you sleep like a baby or keep you up at night. You might have thought your choice of "H" related to whether you've been on the receiving end of Big Data in law enforcement but the fact is that practically all of us have, and for those who haven't it won't take much longer to reach you. There is an absolute explosion in the use of Big Data and predictive analytics in our legal system today driven by the latest innovations in data science and by some obvious applications.

Created by a team of Stanford psychologists and AI experts, Woebot uses brief daily chat conversations, mood tracking, curated videos, and word games to help people manage mental health. Scientists who recently looked at text-chat as a supplement to videoconferencing therapy sessions observed that the texting option actually reduced interpersonal anxiety, allowing patients to more fully disclose and discuss issues shrouded in shame, guilt, and embarrassment. Yesterday, Darcy and a team of co-authors at Stanford published a peer-reviewed study in the Journal of Medical Internet Research, Mental Health that randomized 70 college students and asked them to engage with Woebot or a self-help e-book for two weeks. But using those results to claim it can significantly reduce depression may expose Woebot to legal liabilities that bots in supporting roles have managed to avoid.

From automating reporting to improving forecasting, see how AI is making a difference. Artificial intelligence (AI), especially machine learning, is rapidly finding a role across a variety of enterprise functions. One that you may not have considered is AI's applicability to tax. Here are five ways that AI is reinventing the world of tax functions. One of AI's most simplistic--yet useful--applications involves the automation of routine tasks, the kind of time-consuming work that can fill a professional's workday.

Washington, DC - A US federal appeals court has thrown out a lawsuit by the families of two Yemeni men allegedly killed as innocent bystanders in a US drone strike in 2012 but one of the judges said US "democracy is broken" after announcing the ruling. The unanimous ruling by a three-judge panel in Washington on Friday upheld a lower court's finding that it had no say over the president's drone programme. The case began in 2015 when two family members of Faisal bin Ali Jaber, who brought the "wrongful death" case against then-President Barack Obama in 2015, were killed by a drone strike Yemen in 2012. Faisal's nephew Waleed, 26, and brother-in-law Salem, a father of seven and noted anti-extremist imam, were killed in the strike alongwith three others. Faisal's lawsuit requested an apology from the US government and declaration that the strike was unlawful.

The recent surge in interest in ethics in artificial intelligence may leave many educators wondering how to address moral, ethical, and philosophical issues in their AI courses. As instructors we want to develop curriculum that not only prepares students to be artificial intelligence practitioners, but also to understand the moral, ethical, and philosophical impacts that artificial intelligence will have on society. In this article we provide practical case studies and links to resources for use by AI educators. We also provide concrete suggestions on how to integrate AI ethics into a general artificial intelligence course and how to teach a stand-alone artificial intelligence ethics course.

Uber is killing off the Otto brand at the center of the firms legal battle with Alphabet's Waymo, the firm revealed today as it launched the latest version of its truck. 'Our self-driving truck effort started in 2016 with the addition of the team from Otto,' Uber said, revealing the move. 'Since then, we've combined the best of Otto and ATG to build technology for both cars and trucks. 'With that upgrade, we've retired the Otto name and integrated all of our self-driving efforts into Uber ATG.' Alphabet's Waymo claimed in a lawsuit earlier this year that Anthony Levandowski downloaded more than 14,000 confidential files before leaving to set up Otto, which Uber acquired. In lidar -- or light detection and ranging -- scanning, one or more lasers sends out short pulses, which bounce back when they hit an obstacle, whether clouds, leaves or rocks.

Gartner has predicted that by 2020, 85% of customer interactions will be managed without humans. We are becoming a more self-service economy. Artificial Intelligence or AI is helping us enable it and that too across industries. If some years back someone had asked me write about the impact of AI in the legal industry, I wouldn't have bothered. I mean, look at the industry.

On 21 June at the OpRisk North America 2017 conference in New York, Scott W. Bauguess, Acting Director and Acting Chief Economist of the U.S. Securities and Exchange Commission's ("SEC") Division of Economic and Risk Analysis ("DERA") gave a keynote speech on the use of artificial intelligence by regulators. A transcript of the speech can be found here. Bauguess provided some interesting background on the utility and use of big data and machine learning at the SEC to identify potential misconduct by market participants and investment managers, and the emerging use of artificial intelligence. Bauguess' speech discussed the SEC's use of AI in its regulatory framework, initially discussing machine learning. The SEC currently applies topic modeling methods, such as Latent Dilchlet Allocation ("LDA").

Artificially intelligent chatbots have dramatically changed the workplace, and they're not going anywhere. Given the seismic nature of this change, it is crucial for forward-thinking executives to both understand this AI technology and appreciate how it changes their business' policies and procedures. Chatbots excel at automating tedious and repetitive tasks, freeing up employees to think strategically, innovate, and tackle more high-level tasks. But the introduction of any new technology brings with it associated complexities to appreciate -- and pitfalls to avoid. One of these complexities involves the issue of sexual harassment in the workplace.