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<br>Artificial intelligence algorithms need large quantities of data. The methods used to obtain this information have actually raised concerns about personal privacy, surveillance and copyright.<br> |
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<br>AI-powered gadgets and services, such as virtual assistants and IoT items, constantly gather individual details, raising concerns about invasive data gathering and unauthorized gain access to by 3rd parties. The loss of privacy is further exacerbated by AI's ability to process and combine vast amounts of data, potentially leading to a monitoring society where specific activities are constantly monitored and analyzed without sufficient safeguards or openness.<br> |
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<br>Sensitive user data collected might include online activity records, geolocation information, video, or audio. [204] For instance, in order to build speech recognition algorithms, Amazon has tape-recorded countless personal conversations and allowed short-term employees to listen to and transcribe some of them. [205] Opinions about this prevalent surveillance range from those who see it as an essential evil to those for whom it is plainly unethical and an offense 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 actually established several strategies that try to maintain privacy while still obtaining the information, such as data 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 specialists have actually pivoted "from the question of 'what they know' to the concern of 'what they're doing 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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