Artificial intelligence algorithms need big quantities of information. The techniques used to obtain this data have raised issues about personal privacy, security and copyright.

AI-powered devices and services, such as virtual assistants and IoT items, continuously gather individual details, raising issues about intrusive data event and unauthorized gain access to by 3rd parties. The loss of privacy is additional worsened by AI's ability to process and combine vast quantities of information, possibly causing a surveillance society where specific activities are continuously kept track of and examined without adequate safeguards or openness.

Sensitive user information collected may consist of online activity records, geolocation data, video, or audio. [204] For instance, in order to construct speech acknowledgment algorithms, Amazon has actually recorded millions of private conversations and permitted temporary workers to listen to and transcribe some of them. [205] Opinions about this extensive monitoring variety from those who see it as a required evil to those for whom it is plainly unethical and an offense of the right to personal privacy. [206]
AI developers argue that this is the only way to provide important applications and have developed numerous methods that try to maintain personal privacy while still obtaining the data, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy experts, such as Cynthia Dwork, have actually started to view privacy in terms of fairness. Brian Christian composed that specialists have pivoted "from the concern of 'what they know' 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