Artificial intelligence algorithms need large quantities of information. The strategies used to obtain this data have raised issues about personal privacy, surveillance and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT items, constantly collect individual details, raising concerns about invasive information event and unapproved gain access to by third celebrations. The loss of privacy is additional intensified by AI's ability to procedure and integrate large amounts of information, possibly causing a surveillance society where specific activities are continuously monitored and analyzed without appropriate safeguards or transparency.

Sensitive user data gathered may consist of online activity records, geolocation information, video, or audio. [204] For example, in order to build speech acknowledgment algorithms, Amazon has recorded countless private conversations and permitted short-lived employees to listen to and transcribe some of them. [205] Opinions about this extensive monitoring range from those who see it as a needed evil to those for whom it is plainly unethical and a violation of the right to personal privacy. [206]
AI developers argue that this is the only method to deliver 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 experts, such as Cynthia Dwork, have actually started to view personal privacy in terms of fairness. Brian Christian wrote that specialists have actually 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