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<br>Artificial intelligence algorithms require large quantities of data. The methods used to obtain this information have raised concerns about personal privacy, security and copyright.<br> |
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<br>AI-powered gadgets and services, such as virtual assistants and IoT products, constantly gather individual details, raising concerns about invasive information gathering and unauthorized gain access to by 3rd parties. The loss of privacy is additional worsened by [AI](https://git.riomhaire.com)'s capability to process and integrate vast amounts of data, potentially causing a monitoring society where private activities are continuously monitored and examined without sufficient safeguards or openness.<br> |
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<br>Sensitive user information gathered might include online activity records, geolocation information, video, or audio. [204] For instance, in order to build speech acknowledgment algorithms, Amazon has actually taped millions of personal conversations and enabled short-lived workers to listen to and transcribe some of them. [205] Opinions about this prevalent surveillance 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 method to deliver valuable applications and have established numerous methods that try to maintain personal privacy while still obtaining the information, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have actually started to view privacy in terms of fairness. Brian Christian wrote that experts have pivoted "from the concern of 'what they know' to the question of 'what they're doing with it'." [208] |
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<br>Generative [AI](https://suomalainennaikki.com) is frequently trained on unlicensed copyrighted works, including in domains such as images or computer system code |
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