Artificial intelligence algorithms need big quantities of data. The strategies used to obtain this data have actually raised issues about personal privacy, surveillance and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, continually collect individual details, raising issues about intrusive data gathering and unauthorized gain access to by 3rd parties. The loss of privacy is further intensified by AI's ability to procedure and combine huge amounts of information, possibly causing a surveillance society where individual activities are continuously monitored and examined without appropriate safeguards or openness.

Sensitive user information gathered might consist of online activity records, geolocation information, video, or audio. [204] For example, in order to build speech recognition algorithms, Amazon has recorded millions of private discussions and enabled short-lived workers to listen to and transcribe some of them. [205] Opinions about this widespread monitoring range 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 designers argue that this is the only way to deliver valuable applications and have actually developed several techniques that try to maintain privacy while still obtaining the data, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy experts, such as Cynthia Dwork, have actually started to view personal privacy in terms of fairness. Brian Christian composed that professionals have actually rotated "from the question of 'what they understand' to the concern 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