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AI-Pioneers-such-as-Yoshua-Bengio.md
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<br>Artificial intelligence algorithms need large amounts of data. The strategies used to obtain this information have actually raised issues about privacy, monitoring and copyright.<br>
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<br>[AI](https://visorus.com.mx)-powered devices and services, such as virtual assistants and IoT products, constantly gather individual details, raising issues about invasive information gathering and unapproved gain access to by third parties. The loss of personal privacy is further worsened by [AI](https://ubuntushows.com)'s ability to process and integrate large amounts of data, potentially resulting in a surveillance society where private activities are constantly monitored and examined without appropriate safeguards or transparency.<br>
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<br>Sensitive user data collected might consist of online activity records, geolocation data, video, or audio. [204] For instance, in order to construct speech acknowledgment algorithms, Amazon has actually taped countless private conversations and permitted momentary employees to listen to and transcribe some of them. [205] Opinions about this extensive surveillance range from those who see it as a needed evil to those for whom it is plainly dishonest and an infraction of the right to privacy. [206]
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<br>[AI](http://47.100.17.114) developers argue that this is the only way to provide important applications and have developed several strategies that try to maintain personal privacy while still obtaining the data, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have started to see privacy in terms of fairness. Brian Christian wrote that specialists have pivoted "from the concern of 'what they understand' to the question of 'what they're making with it'." [208]
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<br>Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer system code
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