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<br>Artificial intelligence algorithms need big quantities of information. The techniques utilized to obtain this data have raised issues about privacy, monitoring and copyright.<br> |
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<br>AI-powered gadgets and services, such as virtual assistants and IoT products, continuously gather personal details, raising concerns about invasive data gathering and unapproved gain access to by 3rd parties. The loss of privacy is additional exacerbated by AI's ability to process and combine vast amounts of data, possibly causing a surveillance society where private activities are continuously kept track of and analyzed without adequate safeguards or transparency.<br> |
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<br>Sensitive user data gathered might include online activity records, geolocation data, video, or audio. [204] For example, in order to build speech recognition algorithms, Amazon has recorded millions of personal discussions and permitted temporary employees to listen to and transcribe a few of them. [205] Opinions about this prevalent monitoring range from those who see it as a needed evil to those for whom it is plainly unethical and a violation of the right to privacy. [206] |
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<br>AI developers argue that this is the only way to provide valuable applications and have developed numerous strategies that try to maintain personal privacy while still obtaining the information, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have started to view privacy in regards to fairness. Brian Christian composed that specialists have actually rotated "from the concern of 'what they understand' to the concern of 'what they're finishing with it'." [208] |
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<br>Generative [AI](https://git.kairoscope.net) is frequently trained on unlicensed copyrighted works, including in domains such as images or computer system code |
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