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

AI-powered devices and services, such as virtual assistants and IoT items, continuously gather personal details, raising concerns about invasive information gathering and unapproved gain access to by 3rd parties. The loss of privacy is further intensified by AI's ability to procedure and combine vast amounts of data, potentially causing a surveillance society where private activities are continuously kept an eye on and examined without adequate safeguards or transparency.

Sensitive user information gathered may consist of online activity records, geolocation information, video, or audio. [204] For instance, in order to build speech acknowledgment algorithms, Amazon has tape-recorded countless private conversations and allowed momentary employees to listen to and transcribe a few of them. [205] Opinions about this widespread 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 privacy. [206]
AI developers argue that this is the only way to provide important applications and have developed several techniques 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 privacy experts, such as Cynthia Dwork, have started to see personal privacy in regards to fairness. Brian Christian composed that experts have actually pivoted "from the concern of 'what they know' to the concern of 'what they're finishing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer system code