Artificial intelligence algorithms need large of information. The methods used to obtain this information have raised concerns about personal privacy, surveillance and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT items, continuously gather individual details, raising issues about invasive data gathering and unapproved gain access to by third celebrations. The loss of personal privacy is more exacerbated by AI's ability to process and combine large amounts of data, possibly resulting in a surveillance society where specific activities are continuously kept track of and analyzed without appropriate safeguards or transparency.

Sensitive user information collected may include online activity records, geolocation information, video, or audio. [204] For example, in order to build speech recognition algorithms, Amazon has taped countless personal conversations and allowed short-lived workers 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 unethical and an infraction of the right to personal privacy. [206]
AI developers argue that this is the only method to provide valuable applications and have developed several techniques that try to maintain personal privacy while still obtaining the information, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have started to view privacy in regards to fairness. Brian Christian composed that specialists have pivoted "from the concern of 'what they understand' to the question of 'what they're doing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer code