A more recent study underscores that gaming addiction is probably a worldwide phenomenon, albeit an uncommon one. The analysis of close to 19,000 internet users from the U.S., Canada, the United Kingdom and Germany found that among those who played games, just under 1 in 3 reported at least one symptom of internet gaming disorder. But very few -- between 0.3% and 1.0% of the general population -- might qualify for a diagnosis of internet gaming disorder, according to the 2017 report in the American Journal of Psychiatry.

In a February 2018 interview, Liz Goli, Commissioner of Queensland's Office of State Revenue (OSR), sat back in her chair: "The machine can actually improve our empathy with our customers," she reflected. Now that's interesting – the idea that an unfeeling machine could help human beings be more empathetic towards other human beings! Late last year, OSR implemented a successful machine learning prototype, and it's moving forward with a production pilot of this emerging technology. "We don't want a system where the machine is making decisions. But we do want the machine to offer up next best-action recommendations to our staff that they have the option to follow – or not – based on their experience and knowledge of how the legislation should be applied… We'd also like a system that can ingest Big Data and take action within certain parameters. For example, in case of a natural disaster, the machine might be able to find out which customers are impacted and replace debt-collection notices with proactive letters giving additional time to pay."

Waymo sued Uber in February 2017, claiming that former Waymo executive Anthony Levandowski downloaded more than 14,000 confidential files before leaving to set up a self-driving truck company, called Otto, which Uber acquired soon after. Levandowski has declined to answer questions about the allegations, citing constitutional protections against self-incrimination. Waymo claims former Waymo executive Anthony Levandowski downloaded more than 14,000 confidential files before leaving. Levandowski, then-head of Uber's self-driving program, is pictured above in 2016 The trial had been scheduled to begin on Dec. 4., but Waymo said it learned of new evidence after the U.S. Department of Justice shared it with Alsup. As a result, judge said in November that Uber withheld evidence in the lawsuit, delaying a trial to give Waymo time to review a letter alleging Uber trained employees to steal trade secrets and hide their tracks.

Shankar Narayan, legislative director of the ACLU of Washington, left, speaks at a news conference outside Amazon headquarters, Monday, June 18, 2018, in Seattle. Representatives of community-based organizations urged Amazon to stop selling its face surveillance system, Rekognition, to the government. They later delivered the petitions to Amazon. SEATTLE (AP) -- Some Amazon company investors said Monday they are siding with privacy and civil rights advocates who are urging the tech giant to not sell a powerful face recognition tool to police. The American Civil Liberties Union is leading the effort against Amazon's Rekognition product, delivering a petition with 152,000 signatures to the company's Seattle headquarters Monday, telling the company to "cancel this order."

The American Civil Liberties Union is leading the effort against Amazon's Rekognition product, delivering a petition with 152,000 signatures to the company's Seattle headquarters Monday, telling the company to "cancel this order." They're asking Amazon to stop marketing Rekognition to government agencies over privacy issues that they say can be used to discriminate against minorities.

Amazon may not have much choice but to address mounting criticism over its sales of facial recognition tech to governments. The American Civil Liberties Union has delivered both a petition and a letter from 17 investors demanding that Amazon drop its Rekognition system and exit the surveillance business. While the two sides have somewhat different motivations, they share one thing in common: a concern for privacy. Both groups are worried that Amazon is handing governments surveillance power they could easily use to violate civil rights, particularly for minorities and immigrants. They could use it to track and intimidate protesters, for instance.

A group of Amazon shareholders is asking CEO Jeff Bezos to stop selling and marketing facial recognition technology to governments after civil liberties groups warned of the potential for abuse. Earlier this year, a group of advocacy organisations led by the American Civil Liberties Union (ACLU) published a report detailing how Amazon was marketing its Rekognition tool to American law enforcement agencies. In addition to touting the technology as helping to find suspects, Amazon has said it could be used to preemptively identify "persons of interest" and prevent crimes. A letter signed by 19 shareholders - and provided to The Independent by the ACLU - urges Mr Bezos to halt the tool's expansion until those concerns can be addressed. Amazon supplier investigated over'mistreatment' of workers in China How Alexa recorded a family's conversation then sent it to someone Amazon told to stop selling facial recognition tools to police Amazon supplier investigated over'mistreatment' of workers in China How Alexa recorded a family's conversation then sent it to someone Furnishing police and sheriff's departments with the tool would bolster "government surveillance infrastructure technology" and could drive down Amazon's value, the letter warned. It also echoed concerns about the potential for misuse. "While Rekognition may be intended to enhance some law enforcement activities, we are deeply concerned it may ultimately violate civil and human rights", the letter said.

The 1985 deal has less than 8,000 words and contains just 22 articles, mostly dedicated to tariffs, agricultural restrictions, import licensing and rules of origin – what Harvard economist Dani Rodrik calls conventional trade topics . While these issues are also covered in the US-Singapore deal, most of its 20 chapters and 70,000 or so words deal with other topics such as anti-competitive business conduct, e-commerce, intellectual property, investment rules, labour rights and the environment. AI has already proved its worth in the comparable field of law. A two-month test pitting 20 lawyers against LawGeek's AI showed that humans were no match for a robot in spotting risks within the legal documentation for non-disclosure agreements – deals meant to protect confidential information such as new manufacturing processes and marketing schemes. In terms of accuracy, the lawyers scored an average of 85%, compared to the robot's 94%.

Amazon is drawing the ire of its shareholders after an investigation found that it has been marketing powerful facial recognition tools to police. Nearly 20 groups of Amazon shareholders delivered a signed letter to CEO Jeff Bezos on Friday, pressuring the company to stop selling the software to law enforcement. The tool, called'Rekognition', was first released in 2016, but has since been selling it on the cheap to several police departments around the country, with Washington County Sheriff's Office in Oregon and the city of Orlando, Florida among its customers. Shareholders, including the Social Equity Group and Northwest Coalition for Responsible Investment, join the American Civil Liberties Union (ACLU) and other privacy advocates in pointing out privacy violations and the dangers of mass surveillance. 'We are concerned the technology would be used to unfairly and disproportionately target and surveil people of color, immigrants, and civil society organizations,' the shareholders write.

Establishing trust in data is an essential requirement for businesses and entities for whom credible, reliable information is the lifeblood. As enterprises seek to manage data as an asset, it becomes increasingly vital that data sources are trusted and verifiable. I wrote a few weeks ago about the MIT initiative to establish a framework for trusted data, and the resulting position paper, "Towards an Internet of Trusted Data: A New Framework for Identity and Data Sharing". The authors highlight the criticality and need for "trustworthy, auditable data provenance" where "systems must automatically track every change that is made to data, so it is auditable and completely trustworthy". One of the key recommendations of the study was to improve the process and quality of data sharing.