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

AI-powered gadgets and services, such as virtual assistants and IoT items, continuously collect personal details, raising issues about invasive information gathering and unapproved gain access to by third parties. The loss of privacy is additional exacerbated by AI's ability to process and combine large amounts of data, possibly causing a monitoring society where individual activities are constantly monitored and examined without sufficient safeguards or transparency.

Sensitive user information gathered might include online activity records, geolocation information, video, or audio. [204] For instance, in order to build speech acknowledgment algorithms, Amazon has tape-recorded millions of personal conversations and permitted short-lived employees to listen to and transcribe some of them. [205] Opinions about this extensive monitoring variety from those who see it as a necessary evil to those for whom it is plainly dishonest and an offense of the right to personal privacy. [206]
AI designers argue that this is the only way to deliver important applications and have actually established a number of techniques that attempt to maintain personal privacy while still obtaining the information, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy experts, such as Cynthia Dwork, have actually begun to see privacy in regards to fairness. Brian Christian composed that specialists have actually rotated "from the question of 'what they know' to the concern of 'what they're doing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer code