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

AI-powered devices and services, such as virtual assistants and IoT products, continually gather individual details, raising issues about invasive data gathering and unapproved gain access to by third parties. The loss of privacy is more intensified by AI's ability to process and integrate vast amounts of information, possibly leading to a monitoring society where individual activities are continuously kept an eye on and examined without sufficient safeguards or transparency.

Sensitive user information 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 conversations and permitted momentary employees to listen to and transcribe some of them. [205] Opinions about this prevalent security 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 personal privacy. [206]
AI developers argue that this is the only method to deliver valuable applications and have actually established numerous methods that attempt to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy professionals, such as Cynthia Dwork, have actually begun to view personal privacy in terms of fairness. Brian Christian wrote that experts have rotated "from the question of 'what they know' to the question of 'what they're making with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, consisting of in domains such as images or computer code