Skip to main content

FaceApp’s ill-advised new update adds ‘ethnicity filters’



FaceApp, ignoring its own previous missteps and those of others, has wandered back into controversy with a new update launching today that adds “ethnicity change filters,” allowing users to see what it would look like if they were Caucasian, Black, Asian or Indian.

When the company launched last year, there were some reports that filters designed to make users look “hotter” was just, in fact, making them whiter. Now, with four of the 10 filters available in the free version of the app being explicitly devoted to “changing” ethnicities, FaceApp seems to be getting a little too focused on races rather than faces.

The app, which has 40 million installs across Android and iOS devices, just launched a 2.0 update last week, which added paid “style” filters designed to make users look better by adding makeup or a hipster beard.

Face filters are an admittedly difficult technology to navigate from a cultural standpoint, but there have been enough controversies with apps like MSQRD (acquired by Facebook) and Snapchat for young startups to learn from and avoid making mistakes. Unfortunately, though FaceApp has already endured its own controversy, its misguided efforts to correct them… aren’t a great look.





It seems apparent the founder just made some dumb decisions in his efforts to evade further controversy. FaceApp CEO Yaroslav Goncharov stressed that any of the filters designed to make people’s faces look better would preserve the ethnicity of the user, while the “ethnicity change filters” were “designed to be equal in all aspects,” Goncharov told TechCrunch in a statement. “They don’t have any positive or negative connotations associated with them. They are even represented by the same icon. In addition to that, the list of those filters is shuffled for every photo, so each user sees them in a different order,” he added.

The app’s face-altering technologies are undoubtedly improving and it’s clear the app could have some very cool use cases, but ethnicity filters are a bad direction in which to be moving.

More@ https://www.technapping.com

Source: Techcrunch

Comments

Popular posts from this blog

WTF is bitcoin cash and is it worth anything?

Early yesterday morning bitcoin’s blockchain forked — meaning a separate cryptocurrency was created called bitcoin cash . The way a fork works is instead of creating a totally new cryptocurrency (and blockchain) starting at block 0, a fork just creates a duplicate version that shares the same history. So all past transactions on bitcoin cash’s new blockchain are identical to bitcoin core’s blockchain, with future transactions and balances being totally independent from each other. For practical matters, all this really means is that everyone who owned bitcoin before the fork now has an identical amount of bitcoin cash that is recorded in bitcoin cash’s forked blockchain. But it’s not exactly this easy. If you control your own private keys, or hold your bitcoin in an exchange that said it would credit users’ balances with bitcoin cash, you’re fine and can access your newfound cryptocurrency right now. If you held your bitcoin with a provider like Coinbase, which said before the fork t...

Walmart expands its grocery delivery business, powered by Uber

Walmart is expanding a test of its grocery delivery service, powered by Uber, the company announced this week. The retailer is now offering grocery delivery in two new markets — Dallas and Orlando — which join Tampa and Phoenix as locations where consumers can shop online for grocery items, then opt to have them come to their home for an additional $9.95 fee. Grocery delivery has been something Walmart has experimented with for years, starting with tests in Denver and San Jose of grocery delivery using its own service and trucks. The tests involving Uber are newer, however. In June, 2016, Walmart began a trial in Phoenix, which expanded to Tampa this March. In those locations, Walmart offers grocery delivery at five local stores per market. This week’s Dallas test is larger, with 8 stores participating. In Orlando, there are four stores involved. The grocery delivery service is available via the same online grocery shopping website where customers can place their pick-up orders — a s...

OpenAI bot remains undefeated against world’s greatest Dota 2 players

Last night, OpenAI’s Dota 2 bot beat the world’s most celebrated professional players in one-on-one battles, showing just how advanced these machine learning systems are getting. The bot beat Danil “Dendi” Ishutin rather easily at The International, one of the biggest eSports events in the world, and remains undefeated against the world’s top Dota 2 players. Elon Musk’s OpenAI trained the bot by simply copying the AI and letting the two play each other for weeks on end. “We’ve coached it to learn just from playing against itself,” said OpenAI researcher Jakub Pachoki . “So we didn’t hard-code in any strategy, we didn’t have it learn from human experts, just from the very beginning, it just keeps playing against a copy of itself. It starts from complete randomness and then it makes very small improvements, and eventually it’s just pro level.” To be clear, a 1v1 battle in Dota 2 is far less complex than an actual professional battle, which includes two teams of five players completing...