Artificial intelligence algorithms require big amounts of data. The strategies utilized to obtain this information have raised concerns about personal privacy, security and copyright.

AI-powered devices and services, such as virtual assistants and IoT items, continually gather personal details, raising concerns about invasive information gathering and unauthorized gain access to by 3rd celebrations. The loss of privacy is further exacerbated by AI's ability to process and combine vast quantities of information, possibly causing a monitoring society where specific activities are constantly kept track of and analyzed without adequate safeguards or transparency.

Sensitive user data gathered might include online activity records, geolocation data, video, or audio. [204] For instance, in order to develop speech recognition algorithms, Amazon has recorded millions of personal discussions and enabled short-lived employees to listen to and transcribe a few of them. [205] Opinions about this extensive security variety from those who see it as an essential evil to those for whom it is plainly unethical and an infraction of the right to privacy. [206]
AI designers argue that this is the only method to deliver important applications and have developed several techniques that attempt to maintain privacy while still obtaining the data, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy professionals, such as Cynthia Dwork, have begun to view personal privacy in terms of fairness. Brian Christian wrote that professionals 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 code