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AI fights crime and sometimes mistakes sand dunes for porn

(TECH NEWS) Artificial intelligence (AI) is amazing and does so many cool things, but it can get confused from time to time…

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There’s a certain melancholy to the end of the holiday season, isn’t there? Whichever is your winter festival of choice, it’s easy to be a bit down when the fam heads home and your vacation days, if you have vacation days, dwindle to their end. But as you emerge from holiday coma and trudge to work in the winter lull, take heart! At least it’s not your job to convince a computer that sand dunes aren’t porn.

Because it could be. That’s a thing. We live in the most ridiculous possible future.

Specifically, it’s a British thing. In their ongoing – and laudable! – campaign against child abuse, the Metropolitan Police of London are testing an algorithm that searches seized data for inappropriate sexual content.

Well, that’s what it’s supposed to do. At the moment, it’s shouting at sand. See, sand comes in curving lines and a variety of (literal!) earth tones. Various other activities are also characterized by curving lines and a variety of earth tones. I trust I don’t need to spell it out.

That’s the trouble with algorithms: they do need me to spell it out. As we’ve written before, AI does not do context, and context is the most important human thing. When all you have to work with is “sort of brown and curvy and all over the place,” it becomes possible to mistake a pitiless desert landscape for naked humans engaged in naked human activities. People don’t do that. I mean, I hope. That sounds scratchy and embarrassing.

That’s why it’s currently someone’s job to explain to a robot that sand is not sex. Fair play to the Metropolitan Police, they’re doing that correctly. Their AI solution isn’t scheduled to turn its pitiless steel gaze on British sex for two to three years. Programs are supposed to have hilarious fails in the testing phase. That’s why there’s a testing phase.

The private sector has a habit of leapfrogging that and letting the fail happen right out in public. Just in the last 6 months, premature AI implementation has had Google accusing an innocent person of the Las Vegas shooting and Facebook promoting explicit anti-Semitism.

To state the obvious, the stakes are even higher when the cops are involved. Neither Google nor Facebook has the legal right to shoot you. Yet. And alongside the hilarious fail, the Metropolitan Police are discussing non-hilarious fail, including putting potentially incriminating information on public cloud storage, rather than in a dedicated data center. In case you’re time traveling from 2012, putting private information on a publicly accessible system is a really bad idea. Really.

In short, law enforcement’s experiment with Robocop seems to have run smack into the modestly named Salter’s Law: for every implementation of AI in a people-facing role, you will have to hire a minimum of one real person just to handle the fallout when it screws up.

Matt Salter is a writer and former fundraising and communications officer for nonprofit organizations, including Volunteers of America and PICO National Network. He’s excited to put his knowledge of fundraising, marketing, and all things digital to work for your reading enjoyment. When not writing about himself in the third person, Matt enjoys horror movies and tabletop gaming, and can usually be found somewhere in the DFW Metroplex with WiFi and a good all-day breakfast.

Tech News

Tinder creators launch Ripple, a professional networking app void of pros

(TECH NEWS) Ex-Tinder employees have come together, backed by Match.com, to create a swipe-based professional network, but we don’t plan on giving it a second date.

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In 2015, we discussed briefly the possibilities of taking the dating app’s and repurposing them for professional networking. What if finding professional connections was as easy as finding a date on Tinder? Tinder (executives) literally heard us because they have introduced a solution in their new mobile app called Ripple.

Not to be confused with Ripple the cryptocurrency, Ripple the app is a professional networking tool that literally feels like Tinder.

As it should, the former CTO, Director of Engineering, and Lead Designer of Tinder all make up the founders, along with Mike Presz from Match.com. People who make good dating platforms came together for a professional networking solution that they hope makes networking easier, more natural, and more modern. I took the liberty of signing up for a few days and experimented with the app and I have a few things to say about it…

The good?

Design. Design. Design. The app has a luxuriously simple UI, and is fabulously easy to use. If you even tried Tinder for six minutes, you’ll be able to use this app. The use of symbols, big images, and easy UI is great. The application navigates simply.

It’s fantastic. It’s minimal, it’s content oriented, the interest categories are so good (but they could be better – no interest in process improvements? Go learn about Six Sigma) LinkedIn should look it. The profile set up takes no time at all, about five minutes and you’re ready to go.

But that’s about it.

Everything that’s not good? Everything else.

This is probably because the app is new, but there is nothing going on for the US market. I saw a lot of European professionals and professional groups, but zero people in my area, a major US metropolitan area also called Dallas-Fort Worth. The lack of content and the lack of professionals means the app has nothing.

I can’t rate group experience or say I met the mentor of my professional dreams because no one is on it. Which leads me to ask: What’s next?

The branding, marketing, and advertising for this app are going to have to take off. This is a beautiful product, but the lack of content makes it a pretty dull use. I had to actively remind myself to use it, and I’m in a serial relationship with LinkedIn.

Basically, no second date for me with Ripple until they get… something to happen.

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The cutest part of CES was Sony’s AI robot doggo, Aibo

(TECH NEWS) The Consumer Electronics Show revealed the technologies that are dominating and will dominate the market, with Sony’s AI puppers stealing the show.

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One of the most endearing items to emerge from CES this year was Sony’s revamped robot dog, Aibo.

Aibo’s first unveiling in 1999 featured a blend of emergent Sony technology, such as their Memory Stick and companion operating system. By the time of its demise in 2006, the Aibo was equipped with a large vocabulary (it could speak 1,000 words) and could interact with an owner’s commands and motion. The computerized canine wasn’t limited to just the realm of their traditional counterparts, however – the 2006 model of the Aibo could take pictures from the eye-embedded camera system, play music, and write blogs.

Equipped with more personality and a better interactive capability with its environment, the 2018 Aibo looks more like a real dog as well.

Composed of 4,000 parts and OLED-screen eyes to more authentically mimic movements, Sony says it relies on sensor systems and embedded cameras akin to those in self-driving cars to provide as close to an authentic experience as they can. The cameras, located in nose and tail, allow the robot to learn its way around the house and to deliver it back to its charging station once the two-hour charge runs out.

Reviewers at CES noted that the updated version of the Aibo was very “puppy-likem” barking and scampering with unlimited energy.

The current model is also touch responsive on its head, back and under its chin, allowing the user to give “puppy love” in a way that mimics that of what real dogs like.

Perhaps proving that Aibo is capable of acting more and more like a real dog, the robot canine was unresponsive to commands from Sony CEO Kazuo Hirai on stage at its unveiling, prompting Hirai to return Aibo to Sony staff quickly.

Slated to go on sale in Japan later this year, the dog isn’t cheap, priced at nearly $1,800, but does find itself selling into a dedicated Aibo fanbase from its earlier issue and a consumer market which is hungrier and more accepting for interactive experiences of this type of poo-free pet ownership.

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Lyft offers test rides in their autonomous cars – how’d it go?

(TECH NEWS) Lyft let passengers roll around Vegas in their self-driving cars, and surprisingly, no shocking viral videos resulted.

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If you haven’t been paying attention to the progress of self-driving cars, you’re in for a shock – they’re closer to a daily reality than you might think. As part of this year’s CES conference, Lyft offered test rides in a handful of their autonomous cars, and the results were reportedly decent.

Unlike other companies’ public tests in the past, Lyft’s demonstrations consisted of normal passengers taking normal routes in Las Vegas; there was little in the way of preemptive route control, meaning that the tests were as authentic as possible. Passengers were able to board autonomous Lyfts from the Las Vegas convention center, with some testers traveling well over three miles with minimal operator interference.

The cars themselves are designed by Aptiv, which is a technology company heretofore unaffiliated with Lyft.

While both companies are aware of the potential for flaws and the need to iron them out before production begins en masse, test riders reported that the cars were able to anticipate and respond to a myriad of traffic conditions (for example, slowing down to allow a faster vehicle to merge); this bodes well for the 2020 goal that many autonomous car companies have set.

Naturally, there were a few kinks in the cars’ respective operations, including yellow light confusion and some other finessing issues, wherein the cars’ human operators had to intervene.

The technology behind self-driving cars is only part of the equation, however. As autonomous vehicles become more commonplace, cities will have to adapt to accommodate them.

This process will most likely include things like redefining road architecture, legislation regarding car use (at the moment, autonomous cars must always have a driver in them), and implementation of smart technology.

There’s also the matter of public perception. While most of the reports from the Lyft demo in Las Vegas were positive, the fact remains that plenty of people will be skeptical of new technology – as well they should be, since any emerging technology is bound to make a few bad headlines before it evens out.

How Lyft counters this perception will be key in determining the future of its autonomous fleet, and perhaps even the future of autonomous cars as a whole.

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