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On the 21st floor of a high-rise hotel in Cleveland, in a room full of political operatives, Microsoft’s Research Division was advertising a technology that could read each facial expression in a massive crowd, analyze the emotions, and report back in real time. “You could use this at a Trump rally,” a sales representative told me. At both the Republican and Democratic conventions, Microsoft sponsored event spaces for the news outlet Politico. Politico, in turn, hosted a series of Microsoft-sponsored discussions about the use of data technology in political campaigns. And throughout Politico’s spaces in both Philadelphia and Cleveland, Microsoft advertised an array of products from “Microsoft Cognitive Services,” its artificial intelligence and cloud computing division. At one exhibit, titled “Realtime Crowd Insights,” a small camera scanned the room, while a monitor displayed the captured image. Every five seconds, a new image would appear with data annotated for each face — an assigned serial number, gender, estimated age, and any emotions detected in the facial expression. When I approached, the machine labeled me “b2ff” and correctly identified me as a 23-year-old male.

“Realtime Crowd Insights” is an Application Programming Interface (API), or a software tool that connects web applications to Microsoft’s cloud computing services. Through Microsoft’s emotional analysis API — a component of Realtime Crowd Insights — applications send an image to Microsoft’s servers. Microsoft’s servers then analyze the faces and return emotional profiles for each one. In a November blog post, Microsoft said that the emotional analysis could detect “anger, contempt, fear, disgust, happiness, neutral, sadness or surprise.” Microsoft’s sales representatives told me that political campaigns could use the technology to measure the emotional impact of different talking points — and political scientists could use it to study crowd response at rallies.

Facial recognition technology — the identification of faces by name — is already widely used in secret by law enforcement, sports stadiums, retail stores, and even churches, despite being of questionable legality. As early as 2002, facial recognition technology was used at the Super Bowl to cross-reference the 100,000 attendees to a database of the faces of known criminals. The technology is controversial enough that in 2013, Google tried to ban the use of facial recognition apps in its Google glass system. But “Realtime Crowd Insights” is not true facial recognition — it could not identify me by name, only as “b2ff.” It did, however, store enough data on each face that it could continuously identify it with the same serial number, even hours later. The display demonstrated that capability by distinguishing between the number of total faces it had seen, and the number of unique serial numbers. Photo: Alex Emmons

The Israeli military is using cloud storage and artificial intelligence services provided by U.S. tech titans for "direct participation and collaboration" in what many critics around the world call Israel's genocidal assault on Gaza, according to an investigation published this week. Two Israeli publications—+972 Magazine and Local Call—on Sunday published a joint investigation revealing that the Israeli military is using Amazon Web Services (AWS) to store data gleaned from the mass surveillance in Gaza, where nearly 10 months of bombings and ground invasion have left more than 140,000 Palestinians dead, maimed, or missing, according to local and international estimates. Multiple sources told the outlets that pressure on the IDF since the October 7 Hamas-led attacks on Israel has "led to a dramatic increase in the purchase of services from Google Cloud, Amazon's AWS, and Microsoft Azure." The report states that cooperation between the IDF and AWS "is particularly close" and "even helped on rare occasions to confirm aerial assassination strikes in Gaza—strikes that would have also killed and harmed Palestinian civilians."

The German software-as-a-service firm Open-Xchange, which provides apps that telcos and other service providers can bundle with their connectivity or hosting products, is adding a cloud-based office productivity toolset called OX Documents to its OX App Suite lineup. Open-Xchange has around 70 million users through its contracts with roughly 80 providers such as 1&1 Internet and Strato. Its OX App Suite takes the form of a virtual desktop of sorts, that lets users centralize their email and file storage accounts and view all sorts of documents through a unified portal. However, as of an early April release it will also include OX Text, a non-destructive, collaborative document editor that rivals Google Docs, and that has an interesting heritage of its own.

Less than a week after the attacks in Paris — while the public and policymakers were still reeling, and the investigation had barely gotten off the ground — Cy Vance, Manhattan’s District Attorney, released a policy paper calling for legislation requiring companies to provide the government with backdoor access to their smartphones and other mobile devices. This is the first concrete proposal of this type since September 2014, when FBI Director James Comey reignited the “Crypto Wars” in response to Apple’s and Google’s decisions to use default encryption on their smartphones. Though Comey seized on Apple’s and Google’s decisions to encrypt their devices by default, his concerns are primarily related to end-to-end encryption, which protects communications that are in transit. Vance’s proposal, on the other hand, is only concerned with device encryption, which protects data stored on phones. It is still unclear whether encryption played any role in the Paris attacks, though we do know that the attackers were using unencrypted SMS text messages on the night of the attack, and that some of them were even known to intelligence agencies and had previously been under surveillance. But regardless of whether encryption was used at some point during the planning of the attacks, as I lay out below, prohibiting companies from selling encrypted devices would not prevent criminals or terrorists from being able to access unbreakable encryption. Vance’s primary complaint is that Apple’s and Google’s decisions to provide their customers with more secure devices through encryption interferes with criminal investigations. He claims encryption prevents law enforcement from accessing stored data like iMessages, photos and videos, Internet search histories, and third party app data. He makes several arguments to justify his proposal to build backdoors into encrypted smartphones, but none of them hold water.

Before addressing the major privacy, security, and implementation concerns that his proposal raises, it is worth noting that while an increase in use of fully encrypted devices could interfere with some law enforcement investigations, it will help prevent far more crimes — especially smartphone theft, and the consequent potential for identity theft. According to Consumer Reports, in 2014 there were more than two million victims of smartphone theft, and nearly two-thirds of all smartphone users either took no steps to secure their phones or their data or failed to implement passcode access for their phones. Default encryption could reduce instances of theft because perpetrators would no longer be able to break into the phone to steal the data.

Vance argues that creating a weakness in encryption to allow law enforcement to access data stored on devices does not raise serious concerns for security and privacy, since in order to exploit the vulnerability one would need access to the actual device. He considers this an acceptable risk, claiming it would not be the same as creating a widespread vulnerability in encryption protecting communications in transit (like emails), and that it would be cheap and easy for companies to implement. But Vance seems to be underestimating the risks involved with his plan. It is increasingly important that smartphones and other devices are protected by the strongest encryption possible. Our devices and the apps on them contain astonishing amounts of personal information, so much that an unprecedented level of harm could be caused if a smartphone or device with an exploitable vulnerability is stolen, not least in the forms of identity fraud and credit card theft. We bank on our phones, and have access to credit card payments with services like Apple Pay. Our contact lists are stored on our phones, including phone numbers, emails, social media accounts, and addresses. Passwords are often stored on people’s phones. And phones and apps are often full of personal details about their lives, from food diaries to logs of favorite places to personal photographs. Symantec conducted a study, where the company spread 50 “lost” phones in public to see what people who picked up the phones would do with them. The company found that 95 percent of those people tried to access the phone, and while nearly 90 percent tried to access private information stored on the phone or in other private accounts such as banking services and email, only 50 percent attempted contacting the owner.

What they are doing could be seen as the online world’s equivalent of punk rock: a scattered revolt against an industry that many now think has grown greedy, intrusive and arrogant – as well as governments whose surveillance programmes have fuelled the same anxieties. As concerns grow about an online realm dominated by a few huge corporations, everyone involved shares one common goal: a comprehensively decentralised internet.

In the last few months, they have started working with people in the Belgian city of Ghent – or, in Flemish, Gent – where the authorities own their own internet domain, complete with .gent web addresses. Using the blueprint of Heartbeat, they want to create a new kind of internet they call the indienet – in which people control their data, are not tracked and each own an equal space online. This would be a radical alternative to what we have now: giant “supernodes” that have made a few men in northern California unimaginable amounts of money thanks to the ocean of lucrative personal information billions of people hand over in exchange for their services.

His alternative is what he calls the Safe network: the acronym stands for “Safe Access for Everyone”. In this model, rather than being stored on distant servers, people’s data – files, documents, social-media interactions – will be broken into fragments, encrypted and scattered around other people’s computers and smartphones, meaning that hacking and data theft will become impossible. Thanks to a system of self-authentication in which a Safe user’s encrypted information would only be put back together and unlocked on their own devices, there will be no centrally held passwords. No one will leave data trails, so there will be nothing for big online companies to harvest. The financial lubricant, Irvine says, will be a cryptocurrency called Safecoin: users will pay to store data on the network, and also be rewarded for storing other people’s (encrypted) information on their devices. Software developers, meanwhile, will be rewarded with Safecoin according to the popularity of their apps. There is a community of around 7,000 interested people already working on services that will work on the Safe network, including alternatives to platforms such as Facebook and YouTube.

On Tuesday, the European court of justice, Europe’s supreme court, lobbed a grenade into the cosy, quasi-monopolistic world of the giant American internet companies. It did so by declaring invalid a decision made by the European commission in 2000 that US companies complying with its “safe harbour privacy principles” would be allowed to transfer personal data from the EU to the US. This judgment may not strike you as a big deal. You may also think that it has nothing to do with you. Wrong on both counts, but to see why, some background might be useful. The key thing to understand is that European and American views about the protection of personal data are radically different. We Europeans are very hot on it, whereas our American friends are – how shall I put it? – more relaxed.

Given that personal data constitutes the fuel on which internet companies such as Google and Facebook run, this meant that their exponential growth in the US market was greatly facilitated by that country’s tolerant data-protection laws. Once these companies embarked on global expansion, however, things got stickier. It was clear that the exploitation of personal data that is the core business of these outfits would be more difficult in Europe, especially given that their cloud-computing architectures involved constantly shuttling their users’ data between server farms in different parts of the world. Since Europe is a big market and millions of its citizens wished to use Facebook et al, the European commission obligingly came up with the “safe harbour” idea, which allowed companies complying with its seven principles to process the personal data of European citizens. The circle having been thus neatly squared, Facebook and friends continued merrily on their progress towards world domination. But then in the summer of 2013, Edward Snowden broke cover and revealed what really goes on in the mysterious world of cloud computing. At which point, an Austrian Facebook user, one Maximilian Schrems, realising that some or all of the data he had entrusted to Facebook was being transferred from its Irish subsidiary to servers in the United States, lodged a complaint with the Irish data protection commissioner. Schrems argued that, in the light of the Snowden revelations, the law and practice of the United States did not offer sufficient protection against surveillance of the data transferred to that country by the government.

The Irish data commissioner rejected the complaint on the grounds that the European commission’s safe harbour decision meant that the US ensured an adequate level of protection of Schrems’s personal data. Schrems disagreed, the case went to the Irish high court and thence to the European court of justice. On Tuesday, the court decided that the safe harbour agreement was invalid. At which point the balloon went up. “This is,” writes Professor Lorna Woods, an expert on these matters, “a judgment with very far-reaching implications, not just for governments but for companies the business model of which is based on data flows. It reiterates the significance of data protection as a human right and underlines that protection must be at a high level.”

It's developed a core technology platform, known as Watson, which is a cloud-based system of services that not only identifies words but interprets meaning and context to deliver more accurate results. The system itself is built on servers that model and compare speech to recorded voices. Watson is an evolving platform that with more data is able to adapt and learn so that it continues to improve accuracy and also cross reference data to use speech as input for getting to all kinds of communication and data. "We are really on the cusp of a technology revolution in speech and language technology," said Mazin Gilbert, executive director of speech and language technology at AT&T Labs. "It's no longer about simply trying to get the words right. It's about adding intelligence to interpret what is being said and then using that to apply to other modes of communication, such as text or video."

The system is designed to get more accurate over time as it learns the speech patterns of large numbers of users.