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

AI-powered devices and services, such as virtual assistants and IoT items, constantly collect personal details, raising concerns about invasive information gathering and unapproved gain access to by 3rd parties. The loss of privacy is further intensified by AI's capability to process and combine vast amounts of data, potentially leading to a surveillance society where individual activities are constantly kept track of and evaluated without adequate safeguards or openness.

Sensitive user information collected may include online activity records, geolocation information, video, or audio. [204] For instance, in order to construct speech recognition algorithms, Amazon has actually tape-recorded millions of private discussions and enabled momentary workers to listen to and transcribe some of them. [205] Opinions about this extensive security range from those who see it as a required evil to those for whom it is plainly dishonest and a violation of the right to personal privacy. [206]
AI designers argue that this is the only method to provide important applications and have actually established numerous techniques that attempt to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have actually started to view privacy in terms of fairness. Brian Christian composed that experts have rotated "from the question of 'what they understand' to the question of 'what they're finishing with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, consisting of in domains such as images or computer system code