Artificial intelligence algorithms require large amounts of data. The methods used to obtain this data have raised concerns about privacy, surveillance and copyright.

AI-powered devices and services, such as virtual assistants and IoT products, continually collect individual details, raising issues about invasive data event and unapproved gain access to by 3rd celebrations. The loss of personal privacy is further worsened by AI's capability to procedure and integrate vast quantities of data, possibly leading to a monitoring society where individual activities are continuously kept an eye on and analyzed without appropriate safeguards or openness.

Sensitive user information collected may consist of online activity records, geolocation information, video, or audio. [204] For example, in order to build speech acknowledgment algorithms, Amazon has tape-recorded millions of private discussions and allowed temporary employees to listen to and transcribe some of them. [205] Opinions about this extensive security from those who see it as a required 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 method to provide important applications and have actually established numerous techniques that attempt to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have actually started to see personal privacy in terms of fairness. Brian Christian wrote that experts have rotated "from the concern of 'what they know' to the question of 'what they're finishing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer code