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

AI-powered gadgets and services, such as virtual assistants and IoT items, continuously gather individual details, raising concerns about invasive information event and unapproved gain access to by 3rd celebrations. The loss of privacy is additional worsened by AI's ability to procedure and integrate vast quantities of information, possibly causing a security society where private activities are continuously kept an eye on and evaluated without adequate safeguards or openness.

Sensitive user data collected may consist of online activity records, geolocation information, video, or audio. [204] For example, in order to build speech acknowledgment algorithms, Amazon has taped millions of private conversations and allowed momentary workers to listen to and transcribe a few of them. [205] Opinions about this prevalent monitoring variety from those who see it as a necessary evil to those for whom it is plainly dishonest and an infraction of the right to privacy. [206]
AI developers argue that this is the only method to deliver important applications and have actually developed numerous strategies that attempt to maintain privacy while still obtaining the data, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have started to view personal privacy in terms of fairness. Brian Christian composed that experts have rotated "from the question of 'what they understand' to the question 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