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Archivo del Autor: Belen De Leon

Samsung’s ‘Galaxy Watch’ trademark fuels speculation about a Wear OS device

Samsung’s got a new smartwatch on the way. That much seems for certain. It’s been about a year since the last big announcement, and the company is about to have two large platforms in the form of August’s Note 9 Unpacked event and Berlin’s IFA trade show the following month.

A couple of new tidbits, however, are fueling speculation that things might be a little different this time around. First, a trademark filing in Korea for a Samsung Galaxy Watch logo. The company dropped the Galaxy bit from its Gear line between the first and second generation watches, back in the 2014.

Among the more notable changes on that device was the move from Android to Tizen, and open-source mobile operating system Samsung has continue to bear the torch for on subsequent watches. The company never really looked back on that decision, even after the arrival of Android Wear.

But 2018 has found Google making a more aggressive push around its wearable operating system. I/O saw some upgrades, following a name change to Wear OS. That, along with a smattering of online rumors, point to Samsung potentially giving Google’s other mobile OS a big go.

It’s hard to make the case that Google has done much to warrant another look at the operating system. The smartwatch category has largely stagnated for everyone but Apple and Fitbit, and the last couple of updates haven’t brought a lot to the table. But perhaps there’s something to be said for increased compatibility across the Galaxy line.

Last year’s Gear Sport found Samsung offering up a more universal piece of hardware than its traditional restrictively large devices, but a ground-up rethink of the line certainly couldn’t hurt.


Source: TechCrunch

WhatsApp's new forwarding feature may actually save lives – CNET

This is part of WhatsApp’s continual battle to fight fake news.
Source: CNET

Marvel weighs in on Thanos' apocalyptic Reddit ban – CNET

“Banos” has succeeded.
Source: CNET

In the public sector, algorithms need a conscience

In a recent MIT Technology Review article, author Virginia Eubanks discusses her book Automating Inequality.  In it, she argues that the poor are the testing ground for new technology that increases inequality— highlighting that when algorithms are used in the process of determining eligibility for/allocation of social services, it creates difficulty for people to get services, while forcing them to deal with an invasive process of personal data collection.

I’ve spoken a lot about the dangers associated with government use of face recognition in law enforcement, yet, this article opened my eyes to the unfair and potentially life threatening  practice of refusing or reducing support services to citizens who may really need them— through determinations based on algorithmic data.

To some extent, we’re used to companies making arbitrary decisions about our lives – mortgages, credit card applications, car loans, etc. Yet, these decisions are based almost entirely on straight forward factors of determination— like credit score, employment, and income. In the case of algorithmic determination in social services, there is bias in the form of outright surveillance in combination with forced PII share imposed upon recipients.

Eubanks gives as an example the Pittsburg County Office of Children, Youth and Families using the Allegheny Family Screening Tool (AFST) to assess the risk of child abuse and neglect through statistical modeling. The use of the tool leads to disproportionate targeting of poor families because the data fed to the algorithms in the tool often comes from public schools, the local housing authority, unemployment services, juvenile probation services, and the county police, to name just a few— basically, the data of low income citizens who typically use these services/interact with them regularly. Conversely, data from private services such as private schools, nannies, and private mental health and drug treatment services — isn’t available.

Determination tools like AFST equate poverty with signs of risk of abuse, which is blatant classism— and a consequence of the dehumanization of data. Irresponsible use of AI in this capacity, like that of its use in law enforcement and government surveillance, has the real potential to ruin lives.

Taylor Owen, in his 2015 article titled “The Violence of Algorithms”, described a demonstration he witnessed by intelligence analytics software company Palantir, and made two major points in response— the first being that oftentimes these systems are written by humans, based on data tagged and entered by humans, and as a result are “chock full of human bias and errors.” He then suggests that these systems are increasingly being used for violence.

“What we are in the process of building is a vast real-time, 3-D representation of the world. A permanent record of us…but where does the meaning in all this data come from?” he asked, establishing an inherent issue in AI and datasets.

Historical data is useful only when it is given meaningful context, which many of these datasets are not given. When we are dealing with financial data like loans and credit cards, determinations, as I mentioned earlier— are based on numbers. While there are surely errors and mistakes made during these processes, being deemed unworthy of credit will likely not lead the police to their door.

However, a system built to predict deviancy, that uses arrest data as a main factor in determination, is not only likely to lead to police involvement — it is intended to do so.

Image courtesy of Getty Images

When we recall modern historical policies which were perfectly legal in their intention to target minority groups, Jim Crow certainly comes to mind. And let’s also not forget that these laws were not declared unconstitutional until 1967, despite the Civil Rights Act of 1965.

In this context you can clearly see that according to the Constitution, Blacks have only been considered full Americans for 51 years. Current algorithmic biases, whether intentional or inherent, are creating a system whereby the poor and minorities are being further criminalized, and marginalized.

Clearly, there is the ethical issue around the responsibility we have as a society to do everything in our power to avoid helping governments get better at killing people, yet the lion’s share of this responsibility lies in the lap of those of us who are actually training the algorithms— and clearly, we should not be putting systems that are incapable of nuance and conscience in the position of informing authority.

In her work, Eubanks has suggested something close to a hippocratic oath for those of us working with algorithms— an intent to do no harm, to stave off bias, to make sure that systems did not become cold, hard oppressors.<

To this end, Joy Buolamwini of MIT,  the founder and leader of the Algorithmic Justice League, has created a pledge to use facial analysis technology responsibly.

The pledge includes commitments like showing value for human life and dignity, which includes refusing to engage in the development of lethal autonomous weapons, and not equipping law enforcement with facial analysis products and services for unwarranted individual targeting.

This pledge is an important first step in the direction of self regulation, which I see as the beginning of a larger grass-roots regulatory process around the use of face recognition.


Source: TechCrunch

Apple's China-Friendly Censorship Caused an iPhone-Crashing Bug

The bug serves as a reminder of China-friendly censorship code hidden in all iOS devices.
Source: Wired

WhatsApp now marks forwarded messages to curb the spread of deadly misinformation

WhatsApp just introduced a new feature designed to help its users identify the origin of information that they receive in the messaging app. For the first time, a forwarded WhatsApp message will include an indicator that marks it as forwarded. It’s a small shift for the messaging platform, but potentially one that could make a big difference in the way people transmit information, especially dubious viral content, over the app.

The newest version of WhatsApp includes the feature, which marks forwarded messages in subtle but still hard to miss italicized text above the content of a message.

The forwarded message designation is meant as a measure to control the spread of viral misinformation in countries like India, where the company has 200 million users. Misinformation spread through the app has been linked to the mob killing of multiple men who were targeted by false rumors accusing them of kidnapping children. Those rumors are believed to have spread through Facebook and WhatsApp.

Last week, India’s Information Technology Ministry issued a warning to WhatsApp specifically:

Instances of lynching of innocent people have been noticed recently because of large number of irresponsible and explosive messages filled with rumours and provocation are being circulated on WhatsApp. The unfortunate killing in many states such as Assam, Maharashtra, Karnataka, Tripura and west Bengals are deeply painful and regretable.

While the Law and order machinery is taking steps to apprehend the culprits, the abuse of platform like WhatsApp for repeated circulation of such provocative content are equally a matter of deep concern. The Ministry of Electronics and Information Technology has taken serious note of these irresponsible messages and their circulation in such platforms. Deep disapproval of such developments has been conveyed to the senior management of the WhatsApp and they have been advised that necessary remedial measures should be taken to prevent  proliferation of  these  fake  and at times motivated/sensational messages. The Government has also directed that spread of such messages should be immediately contained through the application of appropriate technology.

It has also been pointed out that such platform cannot evade accountability and responsibility specially when good technological inventions are abused by some miscreants who resort to provocative messages which lead to spread of violence.

The Government has also conveyed in no uncertain terms that WhatsApp must take immediate action to end this menace and ensure that their platform is not used for such malafide activities.

In a blog post accompanying the new message feature, WhatsApp encouraged its users to stop and think before sharing a forwarded message.


Source: TechCrunch

SolarWinds acquires real-time threat-monitoring service Trusted Metrics

SolarWinds, the company behind tools like Pingdom, Papertrail, Loggly and a number of other IT management tools, today announced it has acquired Trusted Metrics, a company that helps businesses monitor incoming threats to their networks and servers. This move follows SolarWinds’ acquisition of Loggly earlier this year. Among other things, Loggly also provides a number of security tools for enterprises.

Today’s acquisition of Trusted Metrics is clearly part of the company’s strategy to build out its security portfolio, and SolarWinds is actually rolling Trusted Metrics into a new security product called SolarWinds Threat Monitor. Like Trusted Metrics, SolarWinds Threat Monitor helps businesses protect their networks by automatically detecting suspicious activity and malware.

“When we look at the rapidly changing IT security landscape, the proliferation of mass-marketed malware and the non-discriminatory approach of cybercriminals, we believe that real-time threat monitoring and management shouldn’t be a luxury, but an affordable option for everyone,” said SolarWinds CEO Kevin Thompson in today’s announcement. “The acquisition of Trusted Metrics will allow us to offer a new product in the SolarWinds mold—powerful, easy to use, scalable—that is designed to give businesses the ability to more easily protect IT environments and business operations.”

SolarWinds did not disclose the financial details of the transaction. Trusted Metrics was founded in 2010; although it received some seed funding, it never raised any additional funding rounds after that.


Source: TechCrunch

AMD’s second-gen Ryzen Threadripper CPUs could rip into stores in August

AMD’s next-gen Ryzen Threadripper desktop processors for enthusiasts will supposedly launch in August. We already knew they were on the way, but now unnamed sources close to AMD are providing an actual launch date.

The post AMD’s second-gen Ryzen Threadripper CPUs could rip into stores in August appeared first on Digital Trends.


Source: Digital trends

A Landmark Legal Shift Opens Pandora’s Box for DIY Guns

Cody Wilson makes digital files that let anyone 3-D print untraceable guns. The government tried to stop him. He sued—and won.
Source: Wired

This A.I. goes against the grain, cleans noisy images with a single shot

Noise obscures details in images taken at high ISOs but new research suggests artificial intelligence may be able to take care of it. A new paper demonstrates software that is capable of cleaning up a noisy image in milliseconds.

The post This A.I. goes against the grain, cleans noisy images with a single shot appeared first on Digital Trends.


Source: Digital trends

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