Artificial intelligence algorithms need big quantities of information. The methods used to obtain this data have raised issues about personal privacy, security and copyright.

AI-powered devices and services, such as virtual assistants and IoT items, constantly gather individual details, raising concerns about invasive information event and unapproved gain access to by third celebrations. The loss of privacy is more worsened by AI's capability to procedure and combine large amounts of data, potentially resulting in a surveillance society where individual activities are continuously kept an eye on and examined without appropriate safeguards or openness.

Sensitive user data collected may include online activity records, geolocation data, video, or audio. [204] For example, in order to develop speech recognition algorithms, Amazon has tape-recorded millions of private discussions and permitted temporary employees to listen to and transcribe some of them. [205] Opinions about this prevalent monitoring variety from those who see it as a needed evil to those for whom it is plainly unethical and an offense of the right to privacy. [206]
AI developers argue that this is the only way to provide important applications and have developed a number of methods that try to maintain privacy while still obtaining the data, such as data aggregation, de-identification and differential privacy. [207] Since 2016, links.gtanet.com.br some privacy specialists, such as Cynthia Dwork, have begun to see privacy in regards to fairness. Brian Christian wrote that experts have actually pivoted "from the question of 'what they know' to the concern of 'what they're finishing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer system code