Artificial intelligence algorithms need big amounts of data. The strategies used to obtain this data have raised concerns about privacy, security and copyright.

AI-powered devices and services, such as virtual assistants and IoT items, continuously gather individual details, raising concerns about invasive information event and unauthorized gain access to by 3rd parties. The loss of privacy is additional worsened by AI's ability to procedure and integrate vast quantities of information, possibly leading to a security society where specific activities are constantly kept track of and examined without adequate safeguards or openness.

Sensitive user data gathered might include online activity records, geolocation information, video, or audio. [204] For example, in order to build speech recognition algorithms, Amazon has tape-recorded countless personal conversations and enabled short-lived employees to listen to and transcribe some of them. [205] Opinions about this extensive surveillance variety from those who see it as an essential 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 deliver important applications and have established several techniques that try to maintain privacy while still obtaining the data, such as information 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 specialists have pivoted "from the question of 'what they know' to the question of 'what they're finishing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, consisting of in domains such as images or computer system code