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Voice-based AI assistant blockchain brings data privacy to smart homes

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According to a report of the University of Washington there are hundreds of millions of smart home devices in over 40 million homes of United States: This number is expected to double by 2021.

Amazon Echo, Google Home and other devices with integrated Alexa and Google Assistant have proven to be some of the most promising new technologies in the world. lights to answer simple and even complex questions. "OK Google" and "Alexa" have become common phrases, since these intelligent speakers always have their microphones turned on, but they do not respond to their "awakening words" "They are mentioned .

Although useful, AI-based assistants are rather disturbing: for example, after users say the word "wake up", Alexa and Google Assistant start recording conversations, sending this data to the cloud. gy behind Amazon Echo and Google Home is powered by AI, it stores the history of the commands to make the device "smarter" to better respond to future commands. However, interactions stored in the cloud are prone to hacking, putting users' personal data at risk.

The way AI-based voice assistants have strained Dr. Rand Hindi, a recent Forbes 30 Under 30 entrepreneur. Hindi has been concerned about data privacy for a number of years. He started writing code at the age of 10 and founded his first technology company when he was only fourteen.

"The first company I created was a social network. I remember thinking it was wrong to be able to access the network database at any time and see the messages that users sent. another. "The idea of ​​data privacy has been on my mind ever since." It also became clear that privacy would be one of the main challenges to the rise of artificial intelligence. "

According to Hindi, leading companies such as Google and Amazon are abusing personal user data collected by IA voice assistants such as Alexa, Siri and Google Assistant.

Many companies claim to protect users' personal data through "privacy trust", an idea whereby users can send company data and the company is trusted to delete such data after the fact. However, it is not guaranteed that the data will be deleted. Also, voice assistants are actually just a microphone in your home connected to the internet. It is absurd to think that people are spinning their homes using this technology, Hindi told me.

"Privacy By Design" with Blockchain

To ensure that user data is kept private, Hindi founded Snips a leading company in the field of 39; IA based in Paris and New York that focuses on bringing privacy to vocal technologies based on artificial intelligence. Since 2013, Snips has developed voice technology to ensure " privacy by design ."

Snips AIR is an example of privacy from the design concept, as it is an AI voice platform that uses blockchain technology to ensure that user data is never sent to the cloud. Snips AIR, which will be available to consumers at the end of 2019, is a decentralized alternative to Siri, Alexa and Google Home and is fully compliant with the General Data Protection Regulation (GDPR).

Instead of storing the data user in the cloud, Snips AIR processes all data on the device, ensuring that personal information remains within the walls of connected homes. And while nobody has access to user data (not even the Snips developers), the artificial intelligence behind the voice assistant Snips AIR can still be improved and trained over time by combining "federated learning" with blockchain technology and modern cryptography.

In other words, instead of sending user data to the cloud for AI to become smarter, the Snips ecosystem pays users in tokens to provide their encrypted data to their blockchain network . The processed data is then aggregated by application developers, who now have new machine learning models that contain encrypted user data. Since AI training is performed on the blockchain with encrypted federated learning, developers can leverage user data and add new applications to the Snips AIR platform. Users themselves must never expose their personal information and compromise their privacy.

The Snips platform (released in June 2017) is made up of over 14,000 developers who have created more than 24,000 voice assistants. According to Hindi, the developer ecosystem focuses on creating user cases that future consumers will be able to use. OEMs (Original Equipment Manufacturer) can then integrate Snips assistant into their products and benefit from the entire Snips voice ecosystem, while protecting user privacy.

Other blockchain-based platforms are also trying to solve this problem. For example, LangNet a decentralized ecosystem for the AI ​​of language, recently collaborated with Dopamine.ai the decentralized global market for data and consumers and AI providers. LangNet and Dopamine share the vision of creating decentralized data ownership, also focusing on monetization opportunities provided by various data providers.

LangNet aggregates a rich and extensive voice repository, while Dopamine provides decentralized collaborative processing networks (DCPN), in which data and artificial intelligence providers are incentivized to provide various services that consumers can submit to pipeline for specific needs. LangNet allows anyone to provide language data in exchange for tokens. The collected data includes voice recordings of users reading a sentence to train speech synthesis systems and personal commands for a voice assistant. The data is owned by the contributor and licensed to developers in exchange for tokens.

Through this partnership, LangNet will be able to easily integrate with the Dopamine platform & nbsp; as a key voice data provider. On the Dopamine platform, the various companies and developers on the market will have the opportunity to access the LangNet network, which has been designed with a growing source of linguistic resources. Various campaigns will also be organized to help crowdsourcing the vocal data sets, along with the models that will help to build the new application with the use of different languages ​​and also for new use cases.

The best security measure is zero data. If I do not have data about my users, then there is nothing to hack. In these ecosystems, blockchain is not a technology that makes data private, but rather it is a technology that does all this, encouraging users to contribute and process data honestly. Blockchain is really the glue between all the pieces that exist for years. The reason I joined the blockchain was not the cryptocurrency, but the idea that we can create self-managed communities in a beneficial way for themselves, Hindi said.

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According to a 2017 Report of the University of Washington there are hundreds of millions of smart home devices in more than 40 million homes in the United States. This number should double by 2021.

Amazon Echo, Google Home and other devices that have Alexa and Integrated Google Assistant, has proven to be one of the most promising new technologies in the world: these AI-enabled assistants seem able to do everything , from turning on the lights to the answer to simple and even complex questions. "OK Google" and "Alexa" have become common phrases, because these connected intelligent speakers always have the microphones turned on, but they do not respond until The "words of awakening" are mentioned.

Although useful, AI-based assistants are also rather unsettling, for example, after users say the word "wake up", Alexa and Google Assistant start recording conversations, sending this data to the cloud. Because the technology behind Amazon Echo and Google Home is AI-based, it stores the history of commands to make the device "smarter" to better respond to future commands. However, interactions stored in the cloud are prone to hacking, putting users' personal data at risk.

The way AI-based voice assistants have strained Dr. Rand Hindi, a recent Forbes 30 Under 30 entrepreneur. Hindi has been concerned about data privacy for a number of years. He started writing code at the age of 10 and founded his first technology company when he was only fourteen.

"The first company I created was a social network. I remember thinking it was wrong to be able to access the network database at any time and see the messages that users sent to each other. The idea of ​​data privacy has been in my mind ever since.It also clearly emerged that privacy would be one of the main challenges for the rise of artificial intelligence. "

According to Hindi, leading companies such as Google and Amazon are abusing personal user data collected by IA voice assistants such as Alexa, Siri and Google Assistant.

Many companies claim to protect users' personal data through "privacy trust", an idea whereby users can send company data and the company is trusted to delete such data after the fact. However, it is not guaranteed that the data will be deleted. Also, voice assistants are actually just a microphone in your home connected to the internet. It is absurd to think that people are spinning their homes using this technology, Hindi told me.

"Privacy By Design" with Blockchain

To ensure that user data is kept private, Hindi founded Snips a leading company in the field of 39; IA based in Paris and New York that focuses on bringing privacy to vocal technologies based on artificial intelligence. Since 2013, Snips has developed voice technology to ensure " privacy by design ."

Snips AIR is an example of privacy from the concept of design, as it is an AI voice platform that uses blockchain technology to ensure that user data is never sent to the cloud. Snips AIR, which will be available to consumers at the end of 2019, is a decentralized alternative to Siri, Alexa and Google Home and is fully compliant with the General Data Protection Regulation (GDPR).

Instead of storing the data user in the cloud, Snips AIR processes all data on the device, ensuring that personal information remains within the walls of connected homes. And while nobody has access to user data (not even the Snips developers), the artificial intelligence behind the voice assistant Snips AIR can still be improved and trained over time by combining "federated learning" with blockchain technology and modern cryptography.

In other words, instead of sending user data to the cloud for AI to become smarter, the Snips ecosystem pays users in tokens to provide their encrypted data to their blockchain network . The processed data is then aggregated by application developers, who now have new machine learning models that contain encrypted user data. Since AI training is performed on the blockchain with encrypted federated learning, developers can leverage user data and add new applications to the Snips AIR platform. Users themselves must never expose their personal information and compromise their privacy.

The Snips platform (released in June 2017) is made up of over 14,000 developers who have created more than 24,000 voice assistants. According to Hindi, the developer ecosystem focuses on creating user cases that future consumers will be able to use. OEMs (Original Equipment Manufacturer) can then integrate Snips assistant into their products and benefit from the entire Snips voice ecosystem, while protecting user privacy.

Other blockchain-based platforms are also trying to solve this problem. For example, LangNet a decentralized ecosystem for the AI ​​of language, recently collaborated with Dopamine.ai the global decentralized market for data and consumers and AI providers. LangNet and Dopamine share the vision of creating decentralized data ownership, also focusing on monetization opportunities provided by various data providers.

LangNet aggregates a rich and extensive voice repository, while Dopamine provides decentralized collaborative processing networks (DCPN), in which data and artificial intelligence providers are incentivized to provide various services that consumers can submit to pipeline for specific needs. LangNet allows anyone to provide language data in exchange for tokens. The collected data includes voice recordings of users reading a sentence to train speech synthesis systems and personal commands for a voice assistant. The data is owned by the contributor and licensed to developers in exchange for tokens.

Through this partnership, LangNet will be able to easily integrate with the Dopamine platform as a key voice data provider. On the Dopamine platform, the various companies and developers on the market will have the opportunity to access the LangNet network, which has been designed with a growing source of linguistic resources. Various campaigns will also be organized to help crowdsourcing the vocal data sets, along with the models that will help to build the new application with the use of different languages ​​and also for new use cases.

The best security measure is zero data. If I do not have data about my users, then there is nothing to hack. In these ecosystems, blockchain is not a technology that makes data private, but rather it is a technology that does all this, encouraging users to contribute and process data honestly. Blockchain is really the glue between all the pieces that exist for years. The reason I got into the blockchain was not the cryptocurrency, but the idea that we can create self-managed communities in a beneficial way for themselves, Hindi said.

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