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Iranians are livid after Apple took away their apps

(TECH NEWS) Apple is under intense scrutiny after removing several of the most popular Iranian apps from the App Store.

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Bye bye apps

Apple is currently under fire after removing more than 10 of the most popular Iranian apps from the App Store in the name of complying with U.S. sanctions.

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Iran currently blocks access to social media networking sites like Facebook, Twitter, and YouTube, so the removal of these apps is a little bit unsettling for some Iranians. One of the applications that was removed was the ride-sharing app, Snapp. Food delivery and online shopping apps were also removed.

Why remove such popular apps?

The New York Times reported that Apple didn’t remove these apps suddenly or arbitrarily. In fact, Iranian developers were warned last February to remove payment options from their apps in order to comply with the current U.S. sanctions. Apple stated, “under the U.S. Sanctions regulations, the App Store cannot host, distribute, or do business with apps or developers connected to certain U.S. embargoed countries.”

The U.S. issued several sanctions against Iran because of their nuclear weapons programs.

Even though President Trump added additional sanctions in July, Apple is feeling the tension, especially from Iranian telecommunications minister, Mohammad Javad Azari Jahromi.

Jahromi stated, “respecting consumer rights is a principle today that Apple hasn’t abided by…we will legally pursue the omission of apps.” He goes on to state, “IT should be used for making human life better and comfortable not a tool for discrimination between countries.” The movement against Apple’s action has gained so much popularity, the hashtag #StopRemovingIranianApps was coined and has been trending on Instagram and other Iranian social media sites.

According to Yahoo!, some of the applications that have been removed, include the Amazon-esque shopping ones Digikala and Bamilo, along with discount app Takhfifan and delivery service app Delion.

What about those other sanctions?

The U.S. did indeed lift some of the sanctions on Iran, under a 2015 nuclear deal that saw Tehran limit their atomic program in exchange for the U.S lifting sanctions. However, Americans (both individuals and companies) are still banned from doing business with Iran due to the other sanctions still in place.

Thus, why Apple has now removed all of their apps originating from Iran, from the App Store.

Policy Director of the National Iranian American Council based in Washington, stated, “we trust that Apple shares our interest in encouraging young Iranian tech entrepreneurs and promoting internet freedom around the world. We hope they [Apple] will respond and look forward to discussing these matters with them.”

Apple’s Response

According to TechCrunch, Techrasa stated Apple sent the following message to Iranian startups attempting to upload apps: “unfortunately, there is no App Store available for the territory of Iran. Additionally, applications facilitating transactions for business entities based in Iran may not comply with the Iranian Transactions Sanctions Regulations (31CRF Part 560) then hosted on the App Store. For these reasons, we are unable to accept your application at this time. We encourage you to resubmit your application once international trade laws are revised to allow this functionality.”

Oddly enough, and I’m not quite sure how this works since Google is an American-based business, Iranian Android users are still able to download apps from the Google Play store, just not the ones that utilize payment options.

#Sanctions

Jennifer Walpole is a Senior Staff Writer at The American Genius and holds a Master's degree in English from the University of Oklahoma. She is a science fiction fanatic and enjoys writing way more than she should. She dreams of being a screenwriter and seeing her work on the big screen in Hollywood one day.

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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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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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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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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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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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