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An important feature of Artificial Intelligence (A.I.) is the ability of technology to provide computational power to create cognition in machines. Yet A.I. critics today worry that many artificial intelligence projects are centrally controlled and therefore produce "Stretto A.I." & Nbsp;& Nbsp;
Unlike human cognition, narrow A.I. it is not conscious or driven by emotion. Rather, tight A.I. it operates within a predetermined and predefined interval, even if it seems to be much more sophisticated than that. Virtual assistants such as Google's Siri and Amazon's Alexa show examples of A.I. While these systems based on A.I. they are able to communicate with users and answer questions, these machines are not close to having human intelligence.
According to Arif Khan, V.P. marketing at SingularityNETcentrally controlled A.I. Projects led by large technology companies have led to the creation of restricted data sets, which could be detrimental to the future of artificial intelligence.
Let's say that Facebook wants to develop A.I. algorithms. These data sets will never be disclosed to a competitor, as it is in the interest of Facebook to keep this information private. In turn, Facebook would never have access to their competitors' data sets. In addition, the data sets on which Facebook will be based contain private information, most likely used for its benefits to increase shareholder value, "Khan explained." However, if Facebook created an A.I. to maximize shareholder value, users would get an enchanted vision of the company. For example, humans could share false news, causing Facebook to receive very tight applications. If you only have restricted data sets, tight machines will be created that may not benefit the general good of the company. "
For example, in 2016 & nbsp;Microsoft has launched an A.I. based on Twitter bot called "Tay" as an experiment in "controversial understanding". Microsoft has observed that the more users have chatted with Tay, the more the robot has become smarter, learning to interact with humans through a "casual and playful" conversation.
Unfortunately, conversations with Tay took a bad turn when Twitter users started tweeting racist comments on the bot. Tay, being a project based on A.I., controlled by a central authority, started to repeat these feelings to the users. This is an example of the impact that restricted algorithms can have on society.
Creation of different data sets with Blockchain technology
Unlike artificial intelligence-based projects, blockchain technology creates decentralized and transparent networks that can be accessed by anyone, anywhere in the world. While blockchain technology is the ledger that powers cryptocurrencies, like Bitcoin, blockchain networks are now being applied to a number of industries to create decentralization. For example, SinguarlityNET is specifically focused on the use of blockchain technology to encourage wider distribution of data and algorithms, helping to ensure the future development of artificial intelligence and the creation of "decentralized A.I".
SingularityNET combines blockchain and A.I. to create more decentralized and decentralized A.I Blockchain networks capable of hosting different sets of data. Creating an API API on the blockchain would allow A.I intercommunication. agents. As a result, different data sets would be created, "Khan said." Think of the blockchain as this broad horizontal layer that extends to all the different cultures, nationalities and geographic areas. Everyone has access to this horizontal data set and can interact with this level of technology, which allows people to upload and work with very different data sets. Unlike centrally controlled data sets, data sets on a blockchain network are not protected by firewalls or controlled by a central authority. "
Hanson Robotica is thinking of using SingularityNET to improve the intelligence of their humanoid robot, Sophia. Unlike Amazon's Alexa, which answers questions approved only by Amazon, Sophia will be able to contact other artificial intelligence service providers for answers to questions. This is a much more flexible solution, as Sophia will not be controlled by a central authority.
Blockchain technology will make it easy, and in many cases profitable, for A.I. developers to provide their code as services to which other products can access. For a product like Sophia, the reach of A.I will increase. third-party. services that can be accessed in real time to help you do things like answer questions and interpret situations. The SingularityNET team is also creating an A.I. extraordinarily powerful, like the integrated AGC system of OpenCog, which will help robots like Sophia to understand the world in human ways, "said Ben Goertzel, chief scientist of Hanson Robotics.
According to Goertzel, like more A.I. services are placed on blockchain networks, these services will begin to interact with each other and improve mutual understanding. In turn, this will create a dramatic increase in A.I. applications available in the world, as well as the general intelligence and creativity of A.I.s out there.
Furthermore, open markets for shared data, such as Oceanic protocol, will allow anyone the opportunity to create a marketplace for any type of data. Users of the data will pay to access these sources with cryptocurrency. Markets built on the Ocean Protocol will allow data access to all participants, ensuring that no central player can control or exploit data. The overall goal of this project is to decentralize access to data, ensuring that no tight data sets are produced.
Companies can transform their data from cost centers to profit centers. They can also purchase data that has not been available until now, to compete with Google, Amazon and Facebook. And because the Oceanic Protocol network rewards data with clear provenance, power is being reset to the data source, which in many cases is the individual, "Bruce Pon, founder of the Ocean Protocol, told me." The data have immense value, but nobody shares them because everyone is afraid of losing control. By creating a decentralized network where everyone can safely share, maintaining control and privacy, a new data economy can emerge. "
Decentralized data depends on us
Although the combination of blockchain and A.I is still nascent, Khan believes that the real challenge for the adoption of A.I. decentralized. is convincing people to understand how their data is currently being used. Apple CEO Tim Cook also said in October that people do not understand how their data is "armed "against them. & Nbsp;
Having others decide how the data are sold in order to create profits for businesses shows that the data is being armed against us. Blockchain allows us to cryptographically protect our data and use it in ways we deem suitable. This also allows us to monetize the data personally if we decide, without our personal information being compromised. This is important to understand in order to combat the narrowness of A.I. and create different data sets in the future. "
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An important feature of Artificial Intelligence (A.I.) is the ability of technology to provide computational power to create cognition in machines. Yet A.I. critics today worry that many artificial intelligence projects are centrally controlled and therefore produce "Narrow A.I."
Unlike human cognition, narrow A.I. it is not conscious or driven by emotion. Rather, tight A.I. it operates within a predetermined and predefined interval, even if it seems to be much more sophisticated than that. Virtual assistants such as Google's Siri and Amazon's Alexa show examples of A.I. While these systems based on A.I. they are able to communicate with users and answer questions, these machines are not close to having human intelligence.
According to Arif Khan, V.P. marketing at SingularityNETcentrally controlled A.I. Projects led by large technology companies have led to the creation of restricted data sets, which could be detrimental to the future of artificial intelligence.
Let's say that Facebook wants to develop A.I. algorithms. These data sets will never be disclosed to a competitor, as it is in the interest of Facebook to keep this information private. In turn, Facebook would never have access to their competitors' data sets. In addition, the data sets on which Facebook will be based contain private information, most likely used for its benefits to increase shareholder value, "Khan explained." However, if Facebook created an A.I. to maximize shareholder value, users would get an enchanted vision of the company. For example, humans could share false news, causing Facebook to receive very tight applications. If you only have restricted data sets, tight machines will be created that may not benefit the general good of the company. "
For example, in 2016 Microsoft has launched an A.I. based on Twitter bot called "Tay" as an experiment in "controversial understanding". Microsoft has observed that the more users have chatted with Tay, the more the robot has become smarter, learning to interact with humans through a "casual and playful" conversation.
Unfortunately, conversations with Tay took a bad turn when Twitter users started tweeting racist comments on the bot. Tay, being a project based on A.I., controlled by a central authority, started to repeat these feelings to the users. This is an example of the impact that restricted algorithms can have on society.
Creation of different data sets with Blockchain technology
Unlike artificial intelligence-based projects, blockchain technology creates decentralized and transparent networks that can be accessed by anyone, anywhere in the world. While blockchain technology is the ledger that powers cryptocurrencies, like Bitcoin, blockchain networks are now being applied to a number of industries to create decentralization. For example, SinguarlityNET is specifically focused on the use of blockchain technology to encourage wider distribution of data and algorithms, helping to ensure the future development of artificial intelligence and the creation of "decentralized A.I".
SingularityNET combines blockchain and A.I. to create more decentralized and decentralized A.I Blockchain networks capable of hosting different sets of data. Creating an API API on the blockchain would allow A.I intercommunication. agents. As a result, different data sets would be created, "Khan said." Think of the blockchain as this broad horizontal layer that extends to all the different cultures, nationalities and geographic areas. Everyone has access to this horizontal data set and can interact with this level of technology, which allows people to upload and work with very different data sets. Unlike centrally controlled data sets, data sets on a blockchain network are not protected by firewalls or controlled by a central authority. "
Hanson Robotica is thinking of using SingularityNET to improve the intelligence of their humanoid robot, Sophia. Unlike Amazon's Alexa, which answers questions approved only by Amazon, Sophia will be able to contact other artificial intelligence service providers for answers to questions. This is a much more flexible solution, as Sophia will not be controlled by a central authority.
Blockchain technology will make it easy, and in many cases profitable, for A.I. developers to provide their code as services to which other products can access. For a product like Sophia, the reach of A.I will increase. third-party. services that can be accessed in real time to help you do things like answer questions and interpret situations. The SingularityNET team is also creating an A.I. extraordinarily powerful, like the integrated AGC system of OpenCog, which will help robots like Sophia to understand the world in human ways, "said Ben Goertzel, chief scientist of Hanson Robotics.
According to Goertzel, like more A.I. services are placed on blockchain networks, these services will begin to interact with each other and improve mutual understanding. In turn, this will create a dramatic increase in A.I. applications available in the world, as well as the general intelligence and creativity of A.I.s out there.
Furthermore, open markets for shared data, such as Oceanic protocol, will allow anyone the opportunity to create a marketplace for any type of data. Users of the data will pay to access these sources with cryptocurrency. Markets built on the Ocean Protocol will allow data access to all participants, ensuring that no central player can control or exploit data. The overall goal of this project is to decentralize access to data, ensuring that no tight data sets are produced.
Companies can transform their data from cost centers to profit centers. They can also purchase data that has not been available until now, to compete with Google, Amazon and Facebook. And because the Oceanic Protocol network rewards data with clear provenness, power is reset to the data source, which in many cases is the individual, "Bruce Pon, founder of the Ocean Protocol, told me." Data have immense value, but nobody shares it because everyone is afraid of losing control. By creating a decentralized network where everyone can safely share, maintaining control and privacy, a new data economy can emerge. "
Decentralized data depends on us
Although the combination of blockchain and A.I is still nascent, Khan believes that the real challenge for the adoption of A.I. decentralized. is convincing people to understand how their data is currently being used. Apple CEO Tim Cook also said in October that people do not understand how their data is "armed "against them.
Having others decide how the data are sold in order to create profits for businesses shows that the data is being armed against us. Blockchain allows us to cryptographically protect our data and use it in ways we deem suitable. This also allows us to monetize the data personally if we decide, without our personal information being compromised. This is important to understand to combat the A.I squeeze. and create different data sets in the future. "
