Artificial intelligence algorithms need large amounts of information. The strategies utilized to obtain this information have raised concerns about personal privacy, security and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, continuously gather personal details, raising issues about intrusive information gathering and unapproved gain access to by 3rd parties. The loss of privacy is more exacerbated by AI's capability to procedure and combine vast quantities of information, potentially causing a security society where individual activities are continuously kept track of and analyzed without adequate safeguards or transparency.

Sensitive user data collected might include online activity records, geolocation information, video, or audio. [204] For example, in order to develop speech acknowledgment algorithms, Amazon has tape-recorded countless personal conversations and enabled short-lived employees to listen to and transcribe a few 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 dishonest and a violation of the right to personal privacy. [206]
AI designers argue that this is the only way to provide valuable applications and have developed several methods that try to maintain privacy while still obtaining the data, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy professionals, such as Cynthia Dwork, have actually started to see personal privacy in regards to fairness. Brian Christian wrote that specialists have rotated "from the concern of 'what they know' to the question of 'what they're making with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, consisting of in domains such as images or computer system code