Amazon’s Alexa Collects More of Your Data Than Any Other Smart Assistant

Our smart devices are listening. Whether it’s personally identifiable information, location data, voice recordings, or shopping habits, our smart assistants know far more than we realize.

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All five services collect your name, phone number, device location, and IP address; the names and numbers of your contacts; your interaction history; and the apps you use. If you don’t like that information being stored, you probably shouldn’t use a voice assistant.

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data collection

Keep in mind that no voice assistant provider is truly interested in protecting your privacy. For instance, Google Assistant and Cortana maintain a log of your location history and routers, Alexa and Bixby record your purchase history, and Siri tracks who is in your Apple Family.

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If you’re looking to take control of your smart assistant, you can stop Alexa from sending your recordings to Amazon, turn off Google Assistant and Bixby, and manage Siri‘s data collection habits.

Source: Amazon’s Alexa Collects More of Your Data Than Any Other Smart Assistant

Intel open-sources AI-powered tool to spot bugs in code

Intel today open-sourced ControlFlag, a tool that uses machine learning to detect problems in computer code — ideally to reduce the time required to debug apps and software. In tests, the company’s machine programming research team says that ControlFlag has found hundreds of defects in proprietary, “production-quality” software, demonstrating its usefulness.

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ControlFlag, which works with any programming language containing control structures (i.e., blocks of code that specify the flow of control in a program), aims to cut down on debugging work by leveraging unsupervised learning. With unsupervised learning, an algorithm is subjected to “unknown” data for which no previously defined categories or labels exist. The machine learning system — ControlFlag, in this case — must teach itself to classify the data, processing the unlabeled data to learn from its inherent structure.

ControlFlag continually learns from unlabeled source code, “evolving” to make itself better as new data is introduced. While it can’t yet automatically mitigate the programming defects it finds, the tool provides suggestions for potential corrections to developers, according to Gottschlich.

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AI-powered coding tools like ControlFlag, as well as platforms like Tabnine, Ponicode, Snyk, and DeepCode, have the potential to reduce costly interactions between developers, such as Q&A sessions and repetitive code review feedback. IBM and OpenAI are among the many companies investigating the potential of machine learning in the software development space. But studies have shown that AI has a ways to go before it can replace many of the manual tasks that human programmers perform on a regular basis.

Source: Intel open-sources AI-powered tool to spot bugs in code | VentureBeat

Internet Service Providers Collect, Sell Horrifying Amount of Sensitive Data, Government Study Concludes

The new FTC report studied the privacy practices of six unnamed broadband ISPs and their advertising arms, and found that the companies routinely collect an ocean of consumer location, browsing, and behavioral data. They then share this data with dodgy middlemen via elaborate business arrangements that often aren’t adequately disclosed to broadband consumers.

“Even though several of the ISPs promise not to sell consumers personal data, they allow it to be used, transferred, and monetized by others and hide disclosures about such practices in fine print of their privacy policies,” the FTC report said.

The FTC also found that while many ISPs provide consumers tools allowing them to opt out of granular data collection, those tools are cumbersome to use—when they work at all. 

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The agency’s report also found that while ISPs promise to only keep consumer data for as long as needed for “business purposes,” the definition of what constitutes a “business purpose” is extremely broad and varies among broadband providers and wireless carriers.

The report repeatedly cites Motherboard reporting showing how wireless companies have historically sold sensitive consumer location data to dubious third parties, often without user consent. This data has subsequently been abused from everyone from bounty hunters and stalkers to law enforcement and those posing as law enforcement.

The FTC was quick to note that because ISPs have access to the entirety of the data that flows across the internet and your home network, they often have access to even more data than what’s typically collected by large technology companies, ad networks, and app makers.


That includes the behavior of internet of things devices connected to your network, your daily movements, your online browsing history, clickstream data (not only which sites you visit but how much time you linger there), email and search data, race and ethnicity data, DNS records, your cable TV viewing habits, and more.

In some instances ISPs have even developed tracking systems that embed each packet a user sends over the internet with an individual identifier, allowing monitoring of user behavior in granular detail. Wireless carrier Verizon was fined $1.3 million in 2016 for implementing such a system without informing consumers or letting them opt out.

“Unlike traditional ad networks whose tracking consumers can block through browser or mobile device settings, consumers cannot use these tools to stop tracking by these ISPs, which use ‘supercookie’ technology to persistently track users,” the FTC report said.

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Source: Internet Service Providers Collect, Sell Horrifying Amount of Sensitive Data, Government Study Concludes