Artificial intelligence algorithms require big quantities of information. The methods used to obtain this information have raised concerns about privacy, security and copyright.

AI-powered devices and services, such as virtual assistants and IoT items, continuously gather personal details, raising issues about invasive data event and unapproved gain access to by 3rd celebrations. The loss of privacy is additional exacerbated by AI's ability to process and combine huge amounts of information, possibly leading to a surveillance society where private activities are continuously monitored and evaluated without sufficient safeguards or openness.

Sensitive user information gathered might include online activity records, geolocation data, video, or audio. [204] For instance, in order to develop speech acknowledgment algorithms, Amazon has tape-recorded millions of personal conversations and enabled short-term workers to listen to and transcribe some of them. [205] Opinions about this widespread surveillance variety from those who see it as an essential evil to those for whom it is plainly unethical and an offense of the right to personal privacy. [206]
AI developers argue that this is the only method to provide valuable applications and have developed several strategies that try to maintain personal privacy while still obtaining the data, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have begun to see personal privacy in regards to fairness. Brian Christian composed that experts have pivoted "from the question of 'what they know' to the question of 'what they're doing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, consisting of in domains such as images or computer system code