Artificial intelligence algorithms need big amounts of data. The strategies utilized to obtain this information have raised issues about privacy, surveillance and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT items, continually gather individual details, raising issues about invasive information gathering and unapproved gain access to by 3rd parties. The loss of personal privacy is more exacerbated by AI's ability to procedure and integrate large amounts of data, potentially resulting in a security society where private activities are continuously kept track of and examined without appropriate safeguards or transparency.

Sensitive user information collected may include online activity records, geolocation data, video, or audio. [204] For example, in order to develop speech acknowledgment algorithms, Amazon has tape-recorded millions of private conversations and permitted temporary workers to listen to and transcribe some of them. [205] Opinions about this prevalent monitoring range from those who see it as a necessary evil to those for whom it is plainly unethical and a violation of the right to personal privacy. [206]
AI developers argue that this is the only method to deliver valuable applications and have established numerous techniques that attempt to maintain privacy while still obtaining the information, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy professionals, such as Cynthia Dwork, have actually begun to view personal privacy in terms of fairness. Brian Christian composed that experts have actually rotated "from the concern of 'what they understand' to the question of 'what they're doing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer system code