Massachusetts State Police (MSP) has been quietly testing ways to use the four-legged Boston Dynamics robot known as Spot, according to new documents obtained by the American Civil Liberties Union of Massachusetts. And while Spot isn't equipped with a weapon just yet, the documents provide a terrifying peek at our RoboCop future. Gizmodo reports: The Spot robot, which was officially made available for lease to businesses last month, has been in use by MSP since at least April 2019 and has engaged in at least two police "incidents," though it's not clear what those incidents may have been. It's also not clear whether the robots were being operated by a human controller or how much autonomous action the robots are allowed. MSP did not respond to Gizmodo's emails on Monday morning.

The newly obtained documents, first reported by Ally Jarmanning at WBUR in Boston, include emails and contracts that shed some light on how police departments of the future may use robots to engage suspects without putting human police in harm's way. In one document written by Lt. Robert G. Schumaker robots are described as an "invaluable component of tactical operations" that are vital to support the state's "Homeland Security Strategy." [...] The question that remains is whether the American public will simply accept robocops as our reality now. Unfortunately, it seems like we may not have any choice in the matter -- especially when the only way that we can learn about this new robot-police partnership is through records requests by the ACLU. And even then, we're still largely in the dark about how these things will be used.

An anonymous reader writes: "HELLO, I'm Scout. Want to play?" My daughter has a toy dog that yaps and comes out with a few stock phrases. When it gets too annoying, I don't hesitate to turn it off. I sometimes think about "losing" Scout, or even "accidentally" breaking it, acts that would be cruel to my daughter but not to the dog. But for how much longer will this be true? Technology is getting better all the time. What will it mean if we can create a robot that is considered alive? If I find myself annoyed by such a robot, would it be wrong to turn it off? Would that be the same as killing it? The answer isn't obvious. Many people already regard robots more sensitively than I do. At Kofukuji temple near Tokyo, Japan, Buddhist priests conduct services for "dead" Aibo robot dogs. In Japan, inanimate objects are considered to have a spirit or soul, so it makes sense for Aibos to be commemorated in this way. Such sentiments aren't confined to Japan, however. Julie Carpenter, a roboticist in San Francisco has written about bomb disposal soldiers who form strong attachments to their robots, naming them and even sleeping curled up next to them in their Humvees. "I know soldiers have written to military robot manufacturers requesting they fix and return the same robot because it's part of their team," she says.

"Be Smart. Shop Safe," warns Mozilla's annual buyer's guide for secure connected products. Based on their conversations with developers and dozens of privacy experts, they've awarded smiley faces with different expressions to rate products from "Not Creepy" up to "Super Creepy".

"While the variety of smart devices on offer is rapidly increasing, so are the number of products that pay no heed to even basic security measures..." notes the editor of Mozilla's Internet Health Report. "Now that more and more companies collect personal data about you, including audio and video of your family, and sensitive biometric and health information, like your heart rate and sleeping habits, it's worrying that more are not upfront about the privacy and security of their products."

Or, as The Next Web writes, "god bless Mozilla for having our lazy backs." And, well, if you're a user of any Ring cameras⦠we're sorry. Basically, there are five things that every product must do:

- Have automatic security updates, so they're protected against the newest threats

- Use encryption, meaning bad actors can't just snoop on your data

- Include a vulnerability management pathway, which makes reporting bugs easy and, well, possible

- Require users to change the default password (if applicable), because that makes devices far harder to access

- Privacy policies -- ones that relate to the product specifically, and aren't just generic

Doesn't seem too much to ask right...? Well, of the 76 devices Mozilla selected, 60 of them passed this test... And what devices didn't meet the criteria?

There were nine of them overall (including the Artie 3000 Coding Robot and the Wemo Wifi Smart Dimmer), but the real loser in this test is the Amazon-owned Ring. Three of the company's products (which is effectively all of their major devices) didn't meet Mozilla's criteria. Yes, that's right, the Ring Video Doorbell, Ring Indoor Cam, and Ring Security Cam all didn't meet minimum standards for security.... The main reasons for not meeting this criteria is due Ring's history with poor encryption policies, and vulnerability management.
To be fair, Nest Cam's Indoor and Outdoor Security Cameras and Google Home also fell into the "Very Creepy" category -- and so did Amazon's Echo smart speakers. (The Amazon Echo Show even made it into Mozilla's highest "Super Creepy" category, where the only other product was Facebook Portal.) But at least the Nest Hello Video doorbell only appears in Mozilla's "Somewhat Creepy" category.

"Just because something on your wishlist this year connects to the internet, doesn't mean you have to compromise on privacy and security..." warns the editor of Mozilla's Internet Health Report. And in addition, "Fitness trackers designed for kids as young as 4 years old, raise questions about what we are teaching our children about how much digital surveillance in their lives is normal." Going forward, they suggest that we push for better privacy regulations -- and that whenever we rate products on performance and price, we should also rate them on their privacy and security.

But in the meantime, as Mozilla explained on Twitter, "Friends don't let friends buy creepy gifts."

DoNotPay, the "robot lawyer" service that helps you contest parking tickets and even sue people, is launching a new tool to help customers understand license agreements. From a report: Called "Do Not Sign," the service is included with DoNotPay's monthly $3 subscription fee, and it lets users upload, scan, or copy and paste the URLs of any license agreements they'd like to check. The service uses machine learning to highlight clauses it thinks users need to know about, including options to opt out from data collection. It's available starting today, November 20th, on the web and via DoNotPay's app on iOS. Agreeing to lengthy license agreements is an almost weekly occurrence for many people, with modern smart devices forcing you to hit "agree" on every new contract. Do Not Sign isn't a replacement for a real lawyer, but it's better than accepting a license agreement sight unseen so you can start using a shiny new gadget, service, or app without delay.

The authors of a 2017 study which found that reading science fiction "makes you stupid" have conducted a follow-up that found that it's only bad sci-fi that has this effect: a well-written slice of sci-fi will be read just as thoroughly as a literary story. From a report: Two years ago, Washington and Lee University professors Chris Gavaler and Dan Johnson published a paper in which they revealed that when readers were given a sci-fi story peopled by aliens and androids and set on a space ship, as opposed to a similar one set in reality, "the science fiction setting triggered poorer overall reading" and appeared to "predispose readers to a less effortful and comprehending mode of reading -- or what we might term non-literary reading." But after critics suggested that merely changing elements of a mainstream story into sci-fi tropes did not make for a quality story, Gavaler and Johnson decided to revisit the research. This time, 204 participants were given one of two stories to read: both were called "Ada" and were identical apart from one word, to provide the strictest possible control. The "literary" version begins: "My daughter is standing behind the bar, polishing a wine glass against a white cloth." The science-fiction variant begins: "My robot is standing behind the bar, polishing a wine glass against a white cloth."

Gizmodo reports that Sony "will happily sell you make-believe virtual meals" for their robotic Aibo dog to unlock tricks, one of several new features added since its re-launch in 2017: The new feature that will appeal to most owners, however, is Aibo Food, which allows the robot to be virtually fed using augmented reality through the Aibo smartphone app. Meals can be purchased using coins, which are awarded to users through random actions like repeatedly using the Aibo app, or during special events. But once users runs out of coins, which is bound to quickly happen as they try out the new Aibo Food feature, they can either wait for more Sony handouts or purchase additional coins for a fee.

Sony points out that Aibo's performance and features aren't dependent on whether the dog is regularly fed -- it is, after all, just a robot. So hopefully the company won't change its mind down the line, making your pup act sluggish and distracted when you're not forking out for pretend food.... Of course, other complications arrive once you start feeding an animal, and the new software update also allows users to finally potty train their Aibos using a new mapping feature so the robot doesn't pretend-shit all over your house.

This appears to be a free feature, until Sony realises it can sell owners virtual poop bags.
There's also a new web-based API/developer program that lets you program the robot dog to perform custom actions -- and Aibo dogs now come equipped with some new patrol/security functionality.

"Using its facial recognition and room-mapping capabilities, Aibo will be able to patrol homes and locate various family members, providing reports on where everyone is, and helping owners track down specific people, according to Sony."

schwit1 quotes the Seattle Times: After enduring a manufacturing mess that spanned six years and cost millions of dollars as it implemented a large-scale robotic system for automated assembly of the 777 fuselage, Boeing has abandoned the robots and will go back to relying more on its human machinists...

The technology was implemented gradually from 2015 inside a new building on the Everett site. But right from the start, the robots proved painful to set up and error-prone, producing damaged fuselages and others that were incompletely assembled and had to be finished by hand. "The Fuselage Automated Upright Build process is a horrible failure," one mechanic told The Seattle Times in 2016. Another called the system "a nightmare" that was snarling 777 production. Yet Boeing insisted then that these were teething pains that would pass... The automation has never delivered its promise of reduced hand labor and Boeing has had to maintain a substantial workforce of mechanics to finish the work of the robots. Because of the errors in the automation, that often took longer than if they had done it all by hand from the start...

It's taken six years to finally throw in the towel.
Yet the article also notes that Boeing will continue to use its highly-automated autonomous robotic systems on other parts of their 777 assembly process.

In a rare interview, Boston Dynamics CEO Marc Raibert talked about the three robots the company is currently focused on (today -- Spot, tomorrow -- Handle, and the future -- Atlas), its current customers, potential applications, AI, simulation, and of course those viral videos. An excerpt from the interview: "Today," for Raibert, refers to a time period that extends over the course of the next year or so. Spot is the "today" robot because it's already shipping to early adopters. In fact, it's only been shipping for about six weeks. Boston Dynamics wants Spot to be a platform -- Raibert has many times referred to it as "the Android of robots." Spot, which weighs about 60 pounds, "is not an end-use application robot," said Raibert. Users can add hardware payloads, and they can add software that interacts with Spot through its API. In fact, Raibert's main purpose in attending Web Summit was to inspire attendees to develop hardware and software for Spot. Boston Dynamics has an arm, spectrum radio, cameras, and lidars for Spot, but other companies are developing their own sensors. The "Spot" we're talking about is technically the SpotMini. It was renamed when it succeeded its older, bigger brother Spot. "The legacy Spot was a research project. We're really not doing anything with it at the moment. We just call it 'Spot' now; it's the product."

Spot can go up and down stairs by using obstacle detection cameras to see railings and steps. It also has an autonomous navigation system that lets it traverse a terrain. While Spot can be steered by a human, the computers onboard regulate the legs and balance. Spot travels at about 3 miles per hour, which is about human walking speed. It has cameras on its front, back, and sides that help it navigate, travel autonomously, and move omnidirectionally. It has different gaits (slow, walking, running, and even show-off), can turn in place, and has a "chicken head" mode. That last one means it can decouple the motion of its hand from its body, similar to how many animals can stabilize one part while the rest of the body moves.

Adidas plans to close high-tech "robot" factories in Germany and the United States that it launched to bring production closer to customers, saying Monday that deploying some of the technology in Asia would be "more economic and flexible." Reuters: The Adidas factories were part of a drive to meet demand for faster delivery of new styles to its major markets and to counter rising wages in Asia and higher shipping costs. It originally planned a global network of similar factories. The German sportswear company did not give details on why it was closing the facilities, which have proved expensive and where the technology has been difficult to extend to different products. Martin Shankland, Adidas' head of global operations, said the factories had helped the company improve its expertise in innovative manufacturing, but it aimed to apply what it had learned with its suppliers.

Gartner research has announced 10 "strategic technology trends that will drive significant disruption and opportunity over the next 5 to 10 years." And the trends include "hyperautomation" -- applying advanced technologies like AI and machine learning to tasks "that once required humans," combining robotic process automation with intelligent business management software to provide "real-time, continuous intelligence about the organization...with a goal of increasingly AI-driven decision making."

They also predict "autonomous things," including drones, appliances, robots, and even ships, sometimes working in collaborative swarms, that "exploit AI to perform tasks usually done by humans." Trend #6 is "the empowered edge," where IoT devices become the foundation for "smart spaces" that move services and applications closer to where they're actually used, creating a world of smart buildings and city spaces. Plus, they're also predicting a movement from centralized public clouds to distributed public clouds which allow data centers to be located anywhere. ("This solves both technical issues like latency and also regulatory challenges like data sovereignty.")

Trend #10 looks at the possibility of AI-enhanced security solutions -- and AI-powered security threats -- as well as the need to provide security for our new AI-powered systems. But they also envision a trend that "replaces technology-literate people with people-literate technology" providing sophisticated "multiexperiences" though "multisensory and multitouchpoint interfaces like wearables and advanced computer sensors." They even predict "fully-scalable" blockchain by 2023, while also predicting its impact on the economy will be felt through integrations with "complementary technologies" like AI and IoT. ("For example, a car would be able to negotiate insurance prices directly with the insurance company based on data gathered by its sensors.")

Trend #3 is "Democratization of technology" (or "citizen access"), a prediction which includes "AI-driven development" of data science models for automated testing. And interestingly, trend #5 is transparency and traceability: The evolution of technology is creating a trust crisis. As consumers become more aware of how their data is being collected and used, organizations are also recognizing the increasing liability of storing and gathering the data. Additionally, AI and ML are increasingly used to make decisions in place of humans, evolving the trust crisis and driving the need for ideas like explainable AI and AI governance.

This trend requires a focus on six key elements of trust: Ethics, integrity, openness, accountability, competence and consistency.
Trend #4 even predicts humans will merge with technology. "[W]hat if scientists could augment the brain to increase memory storage, or implant a chip to decode neural patterns? What if exoskeletons became a standard uniform for autoworkers, enabling them to lift superhuman weights? What if doctors could implant sensors to track how drugs travel inside a body...?"

Today the Ocean Cleanup unveiled its new "Interceptor" solar-powered robot to collect waste plastic from rivers before it can enter the ocean, Fast Company reports: The system was designed by the nonprofit The Ocean Cleanup, which spent the past four years secretly developing and testing the technology while it continued to work on its main project -- a device that can capture plastic trash once it's already in the ocean. The nonprofit unveiled the Interceptor at an event in Rotterdam today.

The ocean's plastic trash problem often starts in rivers: Every year, as much as 2.4 million metric tons of plastic flows from rivers to the sea, the nonprofit estimates. Most of that trash comes from rivers in Asia, in cities where recycling infrastructure is often inadequate. Around 1% of the world's rivers, or 1,000 rivers in total, are responsible for the majority of the trash entering the ocean...

The new technology is designed to anchor to a riverbed, out of the path of passing boats. Like the system that the nonprofit designed for the ocean, which uses a large barrier that blocks part of the river to collect plastic as it floats by, the Interceptor has a floating barrier that directs trash into the system. The device is positioned where the greatest amount of plastic flows, and another device can be placed farther down the river to catch trash that might escape the first Interceptor. A conveyor belt pulls the trash out of the water, and an autonomous system distributes it into dumpsters on a separate barge, sending an alert to local operators when the system is full and ready to be taken to a recycler. The system runs on solar power. In a typical day, it might extract as much as 50,000 kilograms of trash; depending on the currents, tides, and how much plastic is in a given river, The Ocean Cleanup estimates it could theoretically collect as much as 100,000 kilograms [220,462 pounds]...

Since it runs autonomously, it needs little human interaction and also doesn't require humans to sort through potentially dangerous debris collected from the water. It's designed to be mass-produced. The nonprofit aims to deploy it into all of the most polluting rivers in the next five years... "We project that we can remove 90% of floating ocean plastic by 2040, and to truly rid the world's oceans of plastic we must do two things: cleanup legacy plastic and stop it from entering the ocean," they wrote in a press release. "Both are necessary to achieve this mission..."

NASA will send a golf cart-sized robot to the moon in 2022 to search for deposits of water below the surface, an effort to evaluate the vital resource ahead of a planned human return to the moon in 2024 to possibly use it for astronauts to drink and to make rocket fuel, the U.S. space agency said on Friday. From a report: The VIPER robot will drive for miles (km) on the dusty lunar surface to get a closer look at what NASA administrator Jim Bridenstine has touted for months: underground pockets of "hundreds of millions of tons of water ice" that could help turn the moon into a jumping-off point to Mars. "VIPER is going to assess where the water ice is. We're going to be able to characterize the water ice, and ultimately drill," Bridenstine said on Friday at the International Astronautical Congress in Washington. "Why is this important? Because water ice represents something significant. Life support." VIPER stands for Volatiles Investigating Polar Exploration Rover.

New submitter BytePusher shares a report from Phys.Org: U.S. scientists have reported successfully training a group of rodents to drive tiny cars in exchange for bits of Froot Loops cereal, and found that learning the task lowered their stress levels. Their study [published in the journal Behavioral Brain Research] not only demonstrates how sophisticated rat brains are, but could one day help in developing new non-pharmaceutical forms of treatment for mental illness, senior author Kelly Lambert of the University of Richmond told AFP on Wednesday. Lambert said she had long been interested in neuroplasticity -- how the brain changes in response to experience and challenges -- and particularly wanted to explore how well rats that were housed in more natural settings ("enriched environments") performed against those kept in labs.

She and colleagues modified a robot car kit by adding a clear plastic food container to form a driver compartment with an aluminum plate placed on the bottom. A copper wire was threaded horizontally across the cab to form three bars: left, center and right. When a rat placed itself on the aluminum floor and touched the wire, the circuit was complete and the car moved in the direction selected. Seventeen rats were trained over several months to drive around an arena 150 centimeters by 60 centimeters made of plexiglass. As she had suspected, Lambert found that the animals kept in stimuli-rich environments performed far better than their lab rat counterparts, but "it was actually quite shocking to me that they were so much better," she said. "This makes me curious what the implications are for humans, their work environments, job performance and social mobility," writes BytePusher.

Japanese hotel chain HIS Group has apologized for ignoring warnings that its in-room robots were hackable to allow pervs to remotely view video footage from the devices. The Register reports: The Henn na Hotel is staffed by robots: guests can be checked in by humanoid or dinosaur reception bots before proceeding to their room. Facial recognition tech will let customers into their room and then a bedside robot will assist with other requirements. However several weeks ago a security researcher revealed on Twitter that he had warned HIS Group in July about the bed-bots being easily accessible, noting they sported "unsigned code" allowing a user to tap an NFC tag to the back of robot's head and allow access via the streaming app of their choice.

Having heard nothing, the researcher made the hack public on October 13. The vulnerability allows guests to gain access to cameras and microphones in the robot remotely so they could watch and listen to anyone in the room in the future. The hotel is one of a chain of 10 in Japan which use a variety of robots instead of meat-based staff. So far the reference is only to Tapia robots at one hotel, although it is not clear if the rest of the chain uses different devices. The HIS Group tweeted: "We apologize for any uneasiness caused," according to the Tokyo Reporter. The paper was told that the company had decided the risks of unauthorized access were low, however, the robots have now been updated.

A British engineering and manufacturing firm called Geomiq has put out a call for people interested in being the face of a new "state-of-the-art humanoid" it's developing with an unnamed company. The lucky winner with the "kind and friendly" face that the company is looking for will receive $130,000. CNET reports: "The company is searching for a 'kind and friendly' face to be the literal face of the robot once it goes into production," Geomiq says in a blog post about the project. "This will entail the selected person's face being reproduced on potentially thousands of versions of the robots worldwide." The robot line has been in the works for five years, Geomiq says, and will result in a companion for seniors.

The blog post doesn't share age or gender parameters, only asking people who want to license their face to submit a photo via email for the chance at about $130,000. Candidates who make it to the "next phase" will apparently get full details on the project. The secrecy, Geomiq says, is due to a non-disclosure agreement it's signed with the robot's designer and investors.

U.S. presidential candidate Andrew Yang "is full of it," argues Slate's senior business and economics correspondent, challenging Yang's contention (in a debate Tuesday) that American jobs were being lost to automation: Following the debate, a "fact check" by the AP claimed that Yang was right and Warren wrong. "Economists mostly blame [manufacturing] job losses on automation and robots, not trade deals," it stated. But this was incorrect. No such consensus exists, and if anything, the evidence heavily suggests that trade has been the bigger culprit in recent decades. All of which points to a broader issue: Yang's schtick about techno doom may be well-intentioned, but it is largely premised on BS, and is adding to the widespread confusion about the impact of automation on the economy.

Yang is not pulling his ideas out of thin air. Economists have been debating whether automation or trade is more responsible for the long-term decline of U.S. factory work for a while, and it's possible to find experts on both sides of the issue. After remaining steady for years, the total number of U.S. manufacturing jobs suddenly plummeted in the early 2000s -- from more than 17 million in 2000 to under 14 million in 2007... [But] America hasn't just lost manufacturing workers; as Susan Houseman of the Upjohn Institute for Employment Research notes, the number of factories also declined by around 22 percent between 2000 and 2014, which isn't what you'd expect if assembly workers were just being replaced by machines. In a 2017 paper, meanwhile, economists Daron Acemoglu of MIT and Pascual Restrepo of Boston University concluded that the growth of industrial robots in the U.S. since 1990 could only explain between between 360,000 and 670,000 job losses. By comparison, the proof placing blame on trade and China is much stronger. Justin Pierce of the Federal Reserve Board and Peter Schott of Yale have found evidence that the U.S.'s decision to grant the People's Republic permanent normal trade relations in 2000 led to declines in American jobs...

New technology will change the economy and the way people work. It already is. But those shifts will be more complex than Yang admits and probably won't look like the wave of mass unemployment that he and his like-minded supporters tend to envision... It's not just unrealistic. It's lazy. When you buy the sci-fi notion that technology is simply a disembodied force making humanity obsolete and that there's little that can be done about it, you stop thinking about ideas that will actually prevent workers from being screwed over by the forces of globalization or new tech. By prophesying imaginary problems, you ignore the real ones.

Roomba robotic vacuum maker IRobot Corp. is suing rival SharkNinja for copying a device of theirs and selling it at "half the price." "Shark is not even shy about being a copycat," iRobot said in a lawsuit filed Tuesday in federal court in Boston, "claiming that the Shark IQ Robot offers the same iRobot technology at 'half the price of iRobot i7+'."Bloomberg reports: The company that unveiled the Roomba robotic vacuum in the early 2000s launched a product last year that takes house cleaning to a new level: It maps your home, schedules sweeps through each room, empties the dust bin itself and even knows where to resume cleaning after has returned to its base for a recharge. After being recognized by Time magazine for one of 2018's inventions of the year, IRobot Corp. says it's no accident that rival SharkNinja Operating LLC came out with a similar device a year later. [...] SharkNinja, a unit of closely held EP Midco LLC, on Friday filed a pre-emptive lawsuit in federal court in Delaware, asking the court to declare that the Shark IQ doesn't infringe six patents cited in iRobot's complaint, nor five others. IRobot had previously demanded that the Shark IQ be pulled off store shelves.

Earlier today, San Francisco-based research institute OpenAI announced that it had taught a robotic hand to solve Rubik's cube one-handed. "Lost in the shuffle is just what is new here, if anything, and what of it may or may not be machine learning and artificial intelligence -- the science in other words," writes Tiernan Ray via ZDNet. An anonymous Slashdot reader shares an excerpt from his report: The real innovation in Tuesday's announcement, from a science standpoint, is the way many versions of possible worlds were created inside the computer simulation, in an automated fashion, using an algorithm called ADR. ADR, or "Automatic domain randomization," is a way to reset the neural network at various points based on different appearances of the Rubik's cube and different positions of the robotic hand, and all kinds of physical variables, such as friction and gravity. It's done by creating thousands of variations of the values of those variables inside the computer simulator while the neural network is being trained. ADR is an algorithm that changes the variables automatically and iteratively, as the policy network is trained to solve the Rubik's cube. The ADR, in other words, is a separate piece of code that is designed to increase random variation in training data to make things increasingly hard for the policy neural network.

Using ADR, the real world Dexterous Hand can adapt to changes such as when it drops the cube on the floor and the cube is placed back in the hand at a slightly different angle. The performance of the Dexterous Hand after being trained with ADR is vastly better than without it, when only a handful (sorry again again for the pun) of random variants are thrown at it using the prior approach of manually-crafted randomness, the authors report. What's happening, they opine, is the emergence of a kind of "meta-learning." The neural network that has been trained is still, in a sense "learning" at the time it is tested on the real-world Rubik's cube. What that means is that the neural network is updating its model of what kinds of transitions can happen between states of affairs as events happen in the real world. The authors assert that they know this is happening "inside" the trained network because they see that after a perturbation -- say, the Dexterous Hand is hit with some object that interrupts its effort -- the robot's activity suddenly plunges, but then steadily improves, as if the whole policy network is adjusting to the changed state of affairs.

Before Google moves to bring its human-sounding robot calling service Duplex to help users automate their interactions with businesses to international markets, an Indian giant is deploying its own solution to get a jumpstart on the local market. From a report: Reliance Jio today unveiled AI-powered Video Call Assistant service that will allow businesses to automate their customer support and other communications. The service, built in collaboration with Radisys, a U.S.-based subsidiary of Reliance Industries, can be accessed via a 4G phone call and does not require installation of any additional app, Jio said. Executives of Reliance Jio demonstrated the technology on Monday at the third installment of Indian Mobile Congress, similar to but not affiliated with the trade show Mobile World Congress. They said they have already courted a number of customers for this service, including HDFC Bank. In the demo, a user dials a regular phone number and sees a video chat option. Once tapped, the user is greeted by a pre-recorded video message from a human. To demonstrate the AI's capabilities, an executive of Reliance Jio asked the bot what was the interest rate on personal loans. The human-looking bot was able to answer the question without any delay. The company, which became the largest telecom operator in India in three years, is also offering audio and text bot options to brands, executives said. "It may be a large business or small, our bot service is built for all," one of the two executives said.

"There is no 'robot apocalypse', even after a major corporate automation event," writes Gizmodo, citing something equally ominous in new research by a team of economists.

merbs shared their report: Instead, automation increases the likelihood that workers will be driven away from their previous jobs at the companies -- whether they're fired, or moved to less rewarding tasks, or quit -- and causes a long-term loss of wages for the employee. The report finds that "firm-level automation increases the probability of workers separating from their employers and decreases days worked, leading to a 5-year cumulative wage income loss of 11 percent of one year's earnings." That's a pretty significant loss.

Worse still, the study found that even in the Netherlands, which has a comparatively generous social safety net to, say, the United States, workers were only able to offset a fraction of those losses with benefits provided by the state. Older workers, meanwhile, were more likely to retire early -- deprived of years of income they may have been counting on. Interestingly, the effects of automation were felt similarly through all manner of company -- small, large, industrial, services-oriented, and so on. The study covered all non-finance sector firms, and found that worker separation and income loss were "quite pervasive across worker types, firm sizes and sectors."

Automation, in other words, forces a more pervasive, slower-acting and much less visible phenomenon than the robots-are-eating-our-jobs talk is preparing us for. "People are focused on the damage of automation being mass unemployment," study author James Bessen, an economist at Boston University, tells me in an interview. "And that's probably wrong...." According to Bessen, compared to firms that have not automated, the rate of workers leaving their jobs is simply higher, though from the outside, it can resemble more straightforward turnover. "But it's more than attrition," he says. "A much greater percentage -- 8 percent more -- are leaving." And some never come back to work. "There's a certain percentage that drop out of the labor force. That five years later still haven't gotten a job."

The result, Bessen says, is an added strain on the social safety net that it is currently woefully unprepared to handle.