Are New Zealand road users – and laws – ready for driverless cars? The question has major implications for not just road users - be they drivers, cyclists or pedestrians - but also for police, parking wardens, councils and the people planning and designing parking spaces, towns, cities and roads. A new study funded by the Law Foundation, Realising the potential of driverless vehicles for New Zealand, has investigated the need for legal reforms to cope with driverless vehicles here. "By almost universal consensus, driverless vehicles are coming and represent as big a disruption to the transport sector as the replacement of horses with the automobile over a hundred years ago," study author Michael Cameron said. As part of his research, Mr Cameron went to the US, Europe, Singapore and Australia reviewing international laws and visiting some of the big players designing driverless cars.

Roundup Here's your roundup of machine-learning news from this week, beyond what we've already covered. Axon AI Ethics board A group of civil rights groups and technology researchers has written a letter to Axon, a company that uses AI to analyze video footage aimed at law enforcement. Axon recently announced it had set up an AI ethics board to guide its products and services. In response, the letter urges the company to not develop real-time facial recognition for police body cameras to prevent misidentifying civilians as criminals, to ethically reviewing all its other products, and to reach out to "survivors of law enforcement harm and violence" for advice. You can read the letter here.

Artificial intelligence has the potential to create trillions of dollars of value across the economy--if business leaders work to understand what AI can and cannot do. In this episode of the McKinsey Podcast, McKinsey Global Institute partner Michael Chui and MGI chairman and director James Manyika speak with McKinsey Publishing's David Schwartz about the cutting edge of artificial intelligence. Today, we're going to be journeying to the frontiers of artificial intelligence. We'll touch on what AI's impact could be across multiple industries and functions. We'll also explore limitations that, at least for now, stand in the way. I'm joined by two McKinsey leaders who are at the point of the spear, Michael Chui, based in San Francisco and a partner with the McKinsey Global Institute, and James Manyika, the chairman of the McKinsey Global Institute and a senior partner in our San Francisco office. Michael Chui: Great to be here. David Schwartz: Michael, where do we see the most potential from AI? Michael Chui: The number-one thing that we know is just the widespread potential applicability. That said, we're quite early in terms of the adoption of these technologies, so there's a lot of runway to go. One of the other things that we've discovered is that one way to think about where the potential for AI is, is just follow the money. If you're a company where marketing and sales is what drives the value, that's actually where AI can create the most value.

Artificial Intelligence or AI is defined by the Oxford English Dictionary as "the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perceptions, speech recognition, decision-making, and translation between languages". The term is defined in popular culture, and in the eyes of employees the world over, as an ever-approaching threat. The World Economic Forum has discussed AI as a major element of the fourth industrial revolution (4IR) and something which will rapidly change our world and workplaces. Regardless of the definition, AI is coming into our workplaces and coming quickly. As with any change to workplaces, employment law will follow.

On March 1, 2018, the Company acquired processing prepaid platform, servers, POS terminals, customer list, a processing software program from ECS Prepaid LLC. The core asset of ECS is its processing software program, which Gopher intends to marry immediately into the prior acquisition of the UGO HUB and the UGO brand of products. ECS PrePaid's core operating system currently operates over 9,000 terminals in retail locations throughout the United States. These terminals process over 14,000 transactions a day and have capacity to entertain at least three times its current volume, without further software expense. This platform generated approximately $32 million in revenue for the year ended December 31, 2017 (unaudited), approximately $4.2 million for the month of January 2018 (unaudited) and approximately $4.3 for the month of February 2018 (unaudited).

Recently published by Cambridge University Press, Re-Engineering Humanity explores how artificial intelligence, automated decisionmaking, the increasing use of Big Data are shaping the future of humanity. This excellent interdisciplinary book is co-authored by Professors Evan Selinger and Brett Frischmann, and it critically examines three interrelated questions. Under what circumstances can using technology make us more like simple machines than actualized human beings? Why does the diminution of our human potential matter? What will it take to build a high-tech future that human beings can flourish in?

If someone commits a crime away from their home state, a screener could miss a conviction. Records might be missing, outdated, or incorrect. Both humans and machines can misread court documents, or erroneously include convictions for someone with the same name. But the pair argue that machines are better than humans at sifting through documents. Checkr has faced lawsuits under the Fair Credit Reporting Act, which gives people the right to dispute inaccurate information found in background checks.

Given how India's public sector is showing a growing interest in artificial intelligence, can legal tech startups keep up and help transform India's judiciary system? Though India has made rapid progress in terms of technology, companies and researchers are yet to utilise the full potential of AI. In fact, a PwC report emphasises that how instead of waiting for technology to reach a level where regulatory intervention becomes necessary, India could be a frontrunner by establishing a legal infrastructure in advance. A slew of Indian legal tech startups are building NLP-based applications and introducing next-gen legal research platforms that help law firms go beyond simple, keyword-based research, thereby making it less time-consuming. Many legal startups are fast rising in AI research capabilities, some of who have their own AI research labs.

Body cameras worn by police in the US could soon have in-built facial recognition software, sparking'serious concerns' among civil liberties groups. The controversial technology, branded'categorically unethical', would automatically scan and identify every single person law enforcement interacts with. It is intended to help officers track down suspects more effectively, but experts are worried it could lead to false arrests and suffer from inbuilt racial and other biases. If developed, the equipment could become a regular sight on the streets of cities across the world. The manufacturer behind the move has now brought together a panel of experts to discuss the implications of the'Minority Report' style technology.

Most law firms in London are either using or planning to use artificial intelligence (AI), with cuts to staff predicted by almost half, but senior staff look safe from being replaced by robots. The number of women in tech in Europe is an average of 16%. This guide offers a collection of articles highlighting some of the prominent issues surrounding increasing the number of women in the IT industry. You forgot to provide an Email Address. This email address doesn't appear to be valid.