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Amazon Ring exposed wifi passwords; let’s talk ethics

(TECH NEWS) Ring has a security slip up is part of an alarming tech trend! Can industry insiders turn things around before the government forces their hand?

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Ring doorbell

Knock knock!

Who’s there?

WiFi.

WiFi who?

Why Fi…ght external regulation, if you won’t implement higher standards on your end?

Amazon’s Ring smart doorbell/camera services left customers in the ding-dong ditch by letting hackers exploit a flaw that exposed homeowners’ WiFi passwords to neighborhood hackers up until September of this year. I thought putting a ring on things locked them down, but I guess that’s only for people…

Truth be told, I honestly didn’t think a wifi password in the wrong hands could do too much. I figured neighborhood freeloaders would drag my speed down playing some MMORPG on my network or get me slapped by pirating Disney stuff on my dime.

Apparently, what a serious hacker is MORE likely to do is use that connectivity to share a keystroke tracking program with my computer, then sell my passwords to whoever wants them.

Imagine someone in Cairo clogging up my precious Netflix queue with a bunch of romcoms. Eww.

In all seriousness, that’s a pretty big flaw in the Ring. It took Bucharest-based Bitdefender (a merry band of cybersecurity researchers) to point it out. Amazon’s tech ninjas jumped on it, and the issue’s been fixed for a couple of months as of time of writing. But all’s not quite well yet.

The burning questions on my mind are: Who was supposed to catch it first? And why weren’t people told before the fix?

If you’re in the tech industry, know this, and know it well: John Q Public is not your beta tester.

Releasing a product with something as small as a typo on the packaging is embarrassing enough, but when you leave yourself open to something like letting your customers be vulnerable to identity theft, your face gets considerably more eggy.

And, as usual, leaving doors like this opened doesn’t just make your company look bad, or let competitors get the edge on you.

Consistent lack of inner standards means you’re going to be up against outer standards you’ll like even less. Sure, you might think that govt. regulation is going the way of the dodo, but the tech industry and recently emancipated pork industry aren’t the same.

If you’ll pardon the generalization, the more someone leans towards less government oversight, it’s more likely that they’ll view technology as a necessary evil than anything. And that means tech industry slip ups will be the first to be monitored if internal quality control keeps deteriorating. People are getting wise to how much information their smart devices are tracking, and how vulnerable they can become when that information isn’t secured.

Amazon execs will be fine if things go to the courts. Your startup? Probably not as much.

Look, tech nerds have it going on. I really WANT to advocate for leaving you all alone and letting you do your thing, but the constant corner cutting on security testing makes that difficult. Leaving consumers in the dark until the fix is done, meaning no one even had the chance to take precautions like instituting password changes, is a huge no-no, and the fact that I even have to rant about it is alarming.

You know that cliche, ‘It’s not that you DID xyz, it’s that you LIED about it’? It goes for lying by omission as well. Consider this case the coal mine canary.

You are your own industry’s gatekeepers. Take the job seriously before the job gets taken. Seriously

You can't spell "Together" without TGOT: That Goth Over There. Staff Writer, April Bingham, is that goth; and she's all about building bridges— both metaphorically between artistry and entrepreneurship, and literally with tools she probably shouldn't be allowed to learn how to use.

Tech News

Career consultants help job seekers beat AI robot interviews

(TECH NEWS) With the growth of artificial intelligence conducting the job screening, consultants in South Korea have come up with an innovative response.

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job screening by robot

When it comes to resume screenings, women and people of color are regularly passed over, even if they have the exact same resume as a man. In order to give everyone a fair try, we need a system that’s less biased. With the cool, calculating depictions of artificial intelligence in modern media, it’s tempting to say that AI could help us solve our resume screening woes. After all, nothing says unbiased like a machine…right?

Wrong.

I mean, if you need an example of what can go wrong with AI, look no further than Microsoft’s Tay, which went from making banal conversation to spouting racist and misogynistic nonsense in less than 24 hours. Not exactly the ideal.

Sure, Tay was learning from Twitter, which is a hotbed of cruelty and conflict, but the thing is, professional software isn’t always much better. Google’s software has been caught offering biased translations (assuming, for example, if you wrote “engineer” you were referring to a man) and Amazon has been called out for using job screening software that was biased against women.

And that’s just part of what could go wrong with AI scanning your resume. After all, even if gender and race are accounted for (which, again, all bets are off), you’d better bet there are other things – like specific phrases – that these machines are on the lookout for.

So, how do you stand out when it’s a machine, not a human, judging your work? Consultants in South Korea have a solution: teach people how to work around the bots. This includes anything from resume work to learning what facial expressions are ideal for filmed interviews.

It helps that many companies use the same software to do screening. Instead of trying to prepare to impress a wide variety of humans, if someone knew the right tricks for handling an AI system, they could potentially put in much less work. For example, maybe one human interviewer likes big smiles, while the other is put off by them. The AI system, on the other hand, won’t waver from company to company.

Granted, this solution isn’t foolproof either. Not every business uses the same program to scan applicants, for instance. Plus, this tech is still in its relative infancy – a program could easily be in flux as requirements are tweaked. Who knows, maybe someday we’ll actually have application software that can more accurately serve as a judge of applicant quality.

In the meantime, there’s always AI interview classes.

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Tech News

Google chrome: The anti-cookie monster in 2022

(TECH NEWS) If you are tired of third party cookies trying to grab every bit of data about you, google has heard and responded with their new updates.

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3rd party cookies

Google has announced the end of third-party tracking cookies on its Chrome browser within the next two years in an effort to grant users better means of security and privacy. With third-party cookies having been relied upon by advertising and social media networks, this move will undoubtedly have ramifications on the digital ad sector.

Google’s announcement was made in a blog post by Chrome engineering director, Justin Schuh. This follows Google’s Privacy Sandbox launch back in August, an initiative meant to brainstorm ideas concerning behavioral advertising online without using third-party cookies.

Chrome is currently the most popular browser, comprising of 64% of the global browser market. Additionally, Google has staked out its role as the world’s largest online ad company with countless partners and intermediaries. This change and any others made by Google will affect this army of partnerships.

This comes in the wake of rising popularity for anti-tracking features on web browsers across the board. Safari and Firefox have both launched updates (Intelligent Tracking Prevention for Safari and the Enhanced Tracking Prevention for Firefox) with Microsoft having recently released the new Edge browser which automatically utilizes tracking prevention. These changes have rocked share prices for ad tech companies since last year.

The two-year grace period before Chrome goes cookie-less has given the ad and media industries time to absorb the shock and develop plans of action. The transition has soften the blow, demonstrating Google’s willingness to keep positive working relations with ad partnerships. Although users can look forward to better privacy protection and choice over how their data is used, Google has made it clear it’s trying to keep balance in the web ecosystems which will likely mean compromises for everyone involved.

Chrome’s SameSite cookie update will launch in February, requiring publishers and ad tech vendors to label third-party cookies that can be used elsewhere on the web.

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Tech News

Computer vision helps AI create a recipe from just a photo

(TECH NEWS) It’s so hard to find the right recipe for that beautiful meal you saw on tv or online. Well computer vision helps AI recreate it from a picture!

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computer vision recreates recipe

Ever seen at a photo of a delicious looking meal on Instagram and wondered how the heck to make that? Now there’s an AI for that, kind of.

Facebook’s AI research lab has been developing a system that can analyze a photo of food and then create a recipe. So, is Facebook trying to take on all the food bloggers of the world now too?

Well, not exactly, the AI is part of an ongoing effort to teach AI how to see and then understand the visual world. Food is just a fun and challenging training exercise. They have been referring to it as “inverse cooking.”

According to Facebook, “The “inverse cooking” system uses computer vision, technology that extracts information from digital images and videos to give computers a high level of understanding of the visual world,”

The concept of computer vision isn’t new. Computer vision is the guiding force behind mobile apps that can identify something just by snapping a picture. If you’ve ever taken a photo of your credit card on an app instead of typing out all the numbers, then you’ve seen computer vision in action.

Facebook researchers insist that this is no ordinary computer vision because their system uses two networks to arrive at the solution, therefore increasing accuracy. According to Facebook research scientist Michal Drozdzal, the system works by dividing the problem into two parts. A neutral network works to identify ingredients that are visible in the image, while the second network pulls a recipe from a kind of database.

These two networks have been the key to researcher’s success with more complicated dishes where you can’t necessarily see every ingredient. Of course, the tech team hasn’t stepped foot in the kitchen yet, so the jury is still out.

This sounds neat and all, but why should you care if the computer is learning how to cook?

Research projects like this one carry AI technology a long way. As the AI gets smarter and expands its limits, researchers are able to conceptualize new ways to put the technology to use in our everyday lives. For now, AI like this is saving you the trouble of typing out your entire credit card number, but someday it could analyze images on a much grander scale.

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