Artificial intelligence algorithms require large amounts of data. The strategies utilized to obtain this information have raised concerns about personal privacy, security and copyright.
AI-powered gadgets and services, such as virtual assistants and IoT items, continuously gather individual details, raising issues about invasive data gathering and unauthorized gain access to by 3rd parties. The loss of personal privacy is more exacerbated by AI's ability to process and integrate huge amounts of data, possibly causing a security society where specific activities are constantly kept track of and analyzed without appropriate safeguards or openness.
Sensitive user information collected might include online activity records, geolocation information, video, or audio. [204] For instance, in order to build speech acknowledgment algorithms, Amazon has recorded millions of personal discussions and allowed short-lived workers to listen to and transcribe some of them. [205] Opinions about this extensive security variety from those who see it as a needed evil to those for whom it is plainly unethical and an infraction of the right to personal privacy. [206]
AI designers argue that this is the only way to provide valuable applications and have developed several methods that attempt to maintain 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 begun to see privacy in terms of fairness. Brian Christian wrote that specialists have rotated "from the concern of 'what they know' to the concern of 'what they're making with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer code
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AI Pioneers such as Yoshua Bengio
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