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The Dallas Shooting and the Advent of Killer Police Robots

The Atlantic - Technology

In the mourning over the murders of five police officers in Dallas, and relief that the standoff had ended, one unusual detail stuck out: the manner in which police killed one suspect after negotiations failed. "We saw no other option but to use our bomb robot and place a device on its extension for it to detonate where the suspect was," Chief David Brown said in a press conference Friday morning. "Other options would have exposed our officers to grave danger. The suspect is deceased โ€ฆ He's been deceased because of a detonation of the bomb." That use of a robot raises questions about the way police adopt and use new technologies.


'Why are people mad at each other?' Explaining another shocking week of violence to your kids

Los Angeles Times

A 13-year-old in California shook her head at the TV. A 5-year-old in Pittsburgh asked her father why people are so angry. As America coped with one tragic moment after another this week, with the deaths of Alton Sterling and Philando Castile followed by the shooting of a dozen police officers in Dallas, the country's parents had an added task: explaining each act of violence to their children. "If [children] see a bunch of this on television, they can become the indirect victims of trauma," said Suzanne Silverstein, director of the Cedars-Sinai Psychological Trauma Center. African American children might be afraid for their own lives or for their friends and families when they see black men being shot.


"Our Country Is Better Than That": Two Responses to Tragedy

The New Yorker

"We are hurting," David Brown, the chief of the Dallas Police Department, said at the beginning of a press conference on Friday morning. The Dallas officers are hurting. There are no words to describe the atrocity that occurred to our city. All I know is that this must stop--this divisiveness between our police and our citizens." Brown is an African-American in his mid-fifties. He was born and raised in Dallas, which, like many American cities, is highly segregated along racial and income lines. Brown joined the department and made his way up the ranks. According to a profile that appeared in the Dallas Morning News in 2010, when he was appointed a chief of the department, Brown had a reputation as a "tough and demanding leader." In his nearly six years running the department, which had a reputation for overly aggressive, and sometimes deadly, policing, Brown has proved to be a reformer, firing rogue cops for poor behavior, and making sure all officers got extra training in when to use lethal force. In a 2014 article about Brown's reform efforts, Radley Balko, a Washington Post blogger who has written a book about the militarization of America's police forces, commented, "One could quibble with the battles Brown has chosen, but he at least seems to be fighting on the right side." In the past few years, the number of shootings involving the Dallas police has fallen significantly. After making his opening appeal for unity and reconciliation, Brown delivered an update on the investigation into the sniper attack on Thursday evening, which took place during a protest against police violence, leaving five police officers dead and seven wounded. Brown said the alleged shooter, whom he didn't name, had told officers who cornered him, in a parking garage, that he wanted to kill white police officers, that he acted alone and wasn't affiliated with any groups, and that, after negotiations for a peaceful surrender broke down, the police killed him by using a robot to place a bomb in his vicinity and detonating it. Inevitably, these details dominated the headlines. But, at a time of heightened tension and widespread fear of further violence, some other things Brown said deserved noting. After saluting the actions of the Dallas police officers who rushed toward the gunfire, which appeared to come from a rooftop, he addressed the public, saying, "We don't feel much support most days.


Machine learning is making self-driving cars smarter, but it can also make their workings more mysterious

#artificialintelligence

Two recent accidents involving Tesla's Autopilot system may raise questions about how computer systems based on learning should be validated and investigated when something goes wrong. A fatal Tesla accident in Florida last month occurred when a Model S controlled by Autopilot crashed into a truck that the automated system failed to spot. Tesla tells drivers to pay attention to the road while using Autopilot, and explains in a disclaimer that the system may struggle in bright sunlight. Today the National Highway Traffic Safety Administration said it was investigating another accident in Pennsylvania last week where a Model X hit the barriers on both sides of a highway and overturned. The driver said his car was operating in Autopilot mode at the time.


TaxProf Blog

#artificialintelligence

Deftr, legal tech company, and Y Combinator Fellowship recipient, today announced the launch of the first AI-powered tool that helps professionals diagram intricate corporate structures. The new product reads text as it is typed in real time, then automatically turns that text into a shareable, interactive graphic illustrating a corporate structure or transaction. Named for the dynamic tax ledger used by the Ottoman Empire, Deftr helps legal and professional service firms focus on high-level, strategic work by leveraging artificial intelligence to automate manual work. From tax law and IRS guidance to corporate structuring and financial regulations, we enable users to navigate legal complexity and understand its practical consequences intuitively, simply, and cheaply. For hundreds of years the Swiss watch had been considered to be the most accurate, trust-worthy and well-designed way of telling the time โ€“ the best way to convey that crucial information to a wearer.


IntelligentX's beer is brewed with the help of artificial intelligence - TechOptimals

#artificialintelligence

The world's first beer brewed with the help of artificial intelligence is now on sale. Four beers have been created, with each recipe altered based on customer feedback received by an algorithm. The system is hidden behind a Facebook Messenger bot, which takes feedback from customers and sends it onto human brewers who change recipes accordingly. IntelligentX, the company behind the beers, said the use of AI would help brewers receive and test customer feedback "more quickly than ever before". Codes printed on the bottles direct people towards the bot, which then asks a series of questions.


ICYMI: Pedestrian tracking bot and earthquake simulation

Engadget

Today on In Case You Missed It: Stanford engineers are using a robot to understand the way humans move through a crowded space. University of California, San Diego researchers are using the world's largest outdoor shake table to simulate earthquakes and fire to a six story building. If you can get into topics unrelated to Dallas and police shootings this weekend, German churches are using wifi to try to lure new attendees. As always, please share any interesting tech or science videos you find by using the #ICYMI hashtag on Twitter for @mskerryd.


Using robots to kill: Ethics debated after Dallas

USATODAY - Tech Top Stories

Dallas police used a robot to kill a shooting suspect after 5 police officers were shot dead. Some are calling this tactic a first. Dallas police officers comfort each other in honor of the officers who were killed in a massive shootout Thursday. NEW YORK--When Dallas police detonated a "bomb robot" Thursday night to take down a sniper suspect, it was believed to be the first time a robot was used by law enforcement to kill a human being in the U.S. Dallas police chief David Brown explained in a press conference that "other options would have exposed our officers to grave danger." The action raises ethical questions about the role of robots in warfare, or in this case, police work, especially given continuing breakthroughs in machine learning and artificial intelligence.


Google just upped the ante in the machine-learning game by purchasing Moodstocks

#artificialintelligence

Your smartphone is about to get even smarter. As artificial intelligence and machine learning become all the more influential across the tech industry, tech giant Google has just made moves to improve its own AI capabilities by purchasing Moodstocks, a French startup that is particularly adept at helping phones recognize objects. Soon, you may be able to simply point your mobile device at whatever strikes your fancy, and have your phone tell you what it is (and perhaps tell you a bit about it). In a blog post announcement on Wednesday morning, Vincent Simonet, the head of Google France's R&D Center noted that a number of Google services already employ machine learning "to make them simpler and more useful in everyday life," including Smart Reply Inbox and Google Translate. And while Google has already "made great strides in terms of visual recognition," Simonet writes, as you can currently search for a term in Google Images and be presented with pretty decent image results, Simonet notes "there is still much to do in this area."


First AI-Brewed Beer on Sale in London

#artificialintelligence

IntelligentX Brewing Co. has introduced what it calls "the world's first beer brewed by artificial intelligence." The London-based microbrewery is putting a new twist on an old tradition, using machine learning and a Facebook Messenger bot to spot trends and improve its product. "We currently live in a world where companies are using our data to target more advertising at us. We believe we can do something more useful with data," IntelligentX co-founder Hew Leith said in a statement to PCMag. "We can use data to create better products that improve over time. "In this example we [are] combining customer feedback data and a machine-learning algorithm to determine what consumers like about our beers, then brew new versions which are more finely tuned to people's tastes," he continued. "This is the future of data.