The past five years have been marked by tremendous growth in the autonomous vehicle industry. While many jurisdictions continue to jostle for leadership in the space, an even greater number of original equipment manufacturers, technology companies and start-ups are fast-tracking new Connected and Autonomous Vehicle (CAV) technology with an eye to the huge profits to be made. Moving forward, legislators will be tasked with balancing several competing needs: protecting the public, safeguarding data and privacy, ensuring safety standards and creating regulatory certainty, while leaving room for innovation in this highly competitive industry. Following the 2018 introduction of testing guidelines from Transport Canada and the Canadian Council of Motor Transport Administrators, a new and robust regulatory framework will assist in the safe development and deployment of CAVs on Canadian roads. In Ontario, as of January 1, 2019, the ban on operating CAVs in Ontario has been lifted in respect of vehicles equipped with SAE Level 3 automation.

The ability to quickly and automatically translate anything you see using a web service is a powerful one, yet few expect much from it other than a tolerable version of a foreign article, menu or street sign. Shouldn't this amazing tool be put to better use? It can be, and a company called Lilt is quietly doing so -- but crucially, it isn't even trying to leave the human element behind. By combining the expertise of human translators with the speed and versatility of automated ones, you get the best of both worlds -- and potentially a major business opportunity. The problem with machine translation, when you really get down to it, is that it's bad. Sure, it won't mistake "tomato" for "potato," but it can't be trusted to do anything beyond accurately translate the literal meaning of a series of words.

For companies like Google and Microsoft, artificial intelligence is a huge part of their future, offering ways to enhance existing products and create whole new revenue streams. But, as revealed by recent financial filings, both firms also acknowledge that AI -- particularly biased AI that makes bad decisions -- could potentially harm their brands and businesses. These disclosures, spotted by Wired, were made in the companies' 10-K forms. These are standardized documents that firms are legally required to file every year, giving investors a broad overview of their business and recent finances. In the segment titled "risk factors," both Microsoft and Alphabet, Google's parent company, brought up AI for the first time. From Alphabet's 10-K, filed last week: "[N]ew products and services, including those that incorporate or utilize artificial intelligence and machine learning, can raise new or exacerbate existing ethical, technological, legal, and other challenges, which may negatively affect our brands and demand for our products and services and adversely affect our revenues and operating results."

In 1964, concerns about increasing automation led the federal government to establish the National Commission on Technology, Automation, and Economic Progress. The commission was tasked with studying the impact of technological and economic change. Even more than half a century ago, leaders foresaw a world where technology could lead to a new era of economic prosperity--but only if we met the challenge head on. Michael Kratsios is the Deputy Assistant to the President for Technology Policy at The White House. He advises the President on a broad range of technology policy issues, including the development of emerging technologies in the United States.

Artificial intelligence (AI) has a huge impact on our personal lives and also on our democratic society as a whole. While AI offers vast opportunities for the benefit of people, its potential to embed and perpetuate bias and discrimination remains one of the most pressing challenges deriving from its increasing use. This new study, entitled "Discrimination, Artificial Intelligence and Algorithmic Decision-Making", which was prepared by Prof. Frederik Zuiderveen Borgesius for the Anti-discrimination Department of the Council of Europe, elaborates on the risks of discrimination caused by algorithmic decision-making and other types of artificial intelligence (AI).

Corporations, law firms, and others will advance information governance, regulatory and privacy compliance including GDPR and HIPAA and electronic discovery with Infinnium solutions. Infinnium LLC, a software company that develops solutions to improve information management and business decision-making through effective use of the latest artificial intelligence technology, announces [February 11, 2019] its official launch today. Infinnium aims to redefine the way organizations interact with data to generate actionable intelligence, improving information management, information governance and regulatory and privacy compliance. Infinnium brings together a team of experienced business professionals, data scientists and technologists with a passion for problem-solving and developing intelligent, yet simplified solutions using deep learning and AI to improve decision-making and information management. The team collectively possesses more than 100 years of experience in legal technology and developing sophisticated information management, data mining and machine learning software solutions for users globally.

Google CEO Sundar Pichai brought good tidings to investors on parent company Alphabet's earnings call last week. Alphabet reported $39.3 billion in revenue last quarter, up 22 percent from a year earlier. Pichai gave some of the credit to Google's machine learning technology, saying it had figured out how to match ads more closely to what consumers wanted. One thing Pichai didn't mention: Alphabet is now cautioning investors that the same AI technology could create ethical and legal troubles for the company's business. The warning appeared for the first time in the "Risk Factors" segment of Alphabet's latest annual report, filed with the Securities and Exchange Commission the following day: "[N]ew products and services, including those that incorporate or utilize artificial intelligence and machine learning, can raise new or exacerbate existing ethical, technological, legal, and other challenges, which may negatively affect our brands and demand for our products and services and adversely affect our revenues and operating results."

The US leads the world in artificial intelligence technology. Decades of federal research funding, industrial and academic research, and streams of foreign talent have put America at the forefront of the current AI boom. Yet as AI aspirations have sprouted around the globe, the US government has lacked a high-level strategy to guide American investment and prepare for the technology's effects. More than a dozen countries have launched AI strategies in recent years, including China, France, Canada, and South Korea. Their plans include items like new research programs, AI-enhanced public services, and smarter weaponry.

Various methods of computational and statistical analysis of text--usually referred to as text data mining ("TDM") or just text mining--can unlock that information. How this question is answered will have a profound influence on the future of research across the sciences and the humanities, and for the development of the next generation of information technology: machine learning and artificial intelligence. The Article shows how that theory was adopted and applied in the recent high-profile test cases, Authors Guild v. HathiTrust and Authors Guild v. Google, and takes stock of the legal context for TDM research in the United States in the aftermath of those decisions.

Breaking up with your first love is hard to do, but at the age of 18, it was a particularly traumatic experience for Nikki Mattocks. Rather than the clean break she had hoped for, she found herself being bombarded with hateful messages on social media from her ex-boyfriend's friends. One even urged her to kill herself. The messages made me so depressed and led to me taking an overdose," says Mattocks. She is just one of millions of people around the world who have found themselves the victim of bullying. Even in our modern, progressive society, it is too often overlooked and commonly dismissed as a rite of passage, but bullying affects between a fifth and a third of children at school.