Artificial intelligence algorithms require large quantities of information. The strategies 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, continuously collect personal details, raising issues about invasive data event and unapproved gain access to by third parties. The loss of personal privacy is more exacerbated by AI's capability to process and combine vast quantities of information, potentially causing a security society where private activities are constantly kept track of and analyzed without sufficient safeguards or openness.

Sensitive user information gathered may include online activity records, geolocation information, video, or audio. [204] For instance, in order to develop speech recognition algorithms, Amazon has taped millions of personal conversations and allowed short-lived workers to listen to and transcribe some of them. [205] Opinions about this widespread security range from those who see it as an essential evil to those for whom it is plainly unethical and an infraction of the right to personal privacy. [206]
AI developers argue that this is the only method to deliver valuable applications and have actually established numerous techniques that attempt to maintain privacy while still obtaining the data, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy professionals, such as Cynthia Dwork, have begun to view privacy in terms of fairness. Brian Christian wrote that professionals have actually rotated "from the concern of 'what they understand' to the question of 'what they're doing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, consisting of in domains such as images or computer system code