Artificial intelligence algorithms require big amounts of data. The techniques used to obtain this information have actually raised issues about privacy, surveillance and copyright.

AI-powered devices and services, such as virtual assistants and IoT products, continuously collect personal details, raising issues about invasive information event and unapproved gain access to by 3rd parties. The loss of privacy is more worsened by AI's ability to process and integrate large amounts of data, potentially resulting in a surveillance society where individual activities are constantly kept an eye on and evaluated 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 recognition algorithms, Amazon has actually tape-recorded millions of private discussions and enabled short-lived workers to listen to and transcribe a few of them. [205] Opinions about this prevalent surveillance 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 way to provide valuable applications and have actually developed several techniques that try to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have started to see privacy in terms of fairness. Brian Christian wrote that experts have actually "from the question of 'what they understand' to the question of 'what they're doing with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, consisting of in domains such as images or computer code