Artificial intelligence algorithms require big quantities of data. The techniques utilized to obtain this information have raised issues about privacy, security and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT items, constantly collect personal details, raising issues about intrusive information event and unapproved gain access to by 3rd parties. The loss of privacy is further intensified by AI's ability to process and combine vast quantities of data, potentially leading to a surveillance society where specific activities are continuously kept track of and evaluated without sufficient safeguards or transparency.

Sensitive user data gathered might consist of online activity records, geolocation information, video, or audio. [204] For instance, in order to construct speech acknowledgment algorithms, Amazon has tape-recorded countless private discussions and allowed temporary employees to listen to and transcribe some of them. [205] Opinions about this widespread surveillance variety from those who see it as a required 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 way to deliver important applications and have established several methods that try to maintain personal privacy while still obtaining the information, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have started to see personal privacy in terms of fairness. Brian Christian wrote that professionals have actually pivoted "from the concern of 'what they understand' to the question of 'what they're finishing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, consisting of in domains such as images or computer code