Artificial intelligence algorithms need large quantities of information. The techniques used to obtain this information have actually raised concerns about personal privacy, security and copyright.

AI-powered devices and services, such as virtual assistants and IoT items, continuously collect personal details, raising issues about invasive data event and unauthorized gain access to by third parties. The loss of privacy is more worsened by AI's capability to procedure and integrate huge amounts of information, possibly leading to a surveillance society where private activities are continuously kept track of and evaluated without appropriate safeguards or openness.

Sensitive user data gathered might include online activity records, geolocation data, video, or audio. [204] For example, in order to build speech recognition algorithms, Amazon has tape-recorded millions of personal conversations and permitted temporary employees to listen to and transcribe some of them. [205] Opinions about this prevalent monitoring range 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 designers argue that this is the only method to deliver important applications and have developed a number of strategies that try to maintain personal privacy while still obtaining the information, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have actually started to see privacy in regards to fairness. Brian Christian composed that experts have actually rotated "from the question of 'what they know' to the question of 'what they're making with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer code