Artificial intelligence algorithms need large quantities of data. The techniques used to obtain this data have raised concerns about personal privacy, monitoring and copyright.

AI-powered devices and services, such as virtual assistants and IoT products, constantly collect individual details, raising concerns about invasive information gathering and unauthorized gain access to by 3rd parties. The loss of privacy is more exacerbated by AI's capability to procedure and integrate large amounts of data, possibly resulting in a security society where private activities are continuously kept an eye on and evaluated without sufficient safeguards or openness.

Sensitive user information collected may include online activity records, geolocation information, video, or audio. [204] For instance, in order to construct speech acknowledgment algorithms, Amazon has actually tape-recorded millions of personal conversations and enabled momentary workers to listen to and transcribe some of them. [205] Opinions about this extensive security range from those who see it as a required evil to those for whom it is plainly unethical and an infraction of the right to privacy. [206]
AI designers argue that this is the only way to provide valuable applications and have actually established a number of techniques that attempt to maintain privacy while still obtaining the data, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy experts, yewiki.org such as Cynthia Dwork, have actually started to see personal privacy in terms of fairness. Brian Christian wrote that experts have rotated "from the concern of 'what they know' to the concern of 'what they're making with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer code