Artificial intelligence algorithms need large amounts of data. The techniques used to obtain this information have raised concerns about personal privacy, surveillance and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, continually collect personal details, raising issues about invasive information event and unapproved gain access to by third celebrations. The loss of personal privacy is further exacerbated by AI's capability to procedure and combine vast quantities of information, possibly leading to a security society where private activities are continuously kept an eye on and wiki.lafabriquedelalogistique.fr analyzed without adequate safeguards or transparency.

Sensitive user data collected might include online activity records, geolocation information, video, or audio. [204] For example, in order to develop speech recognition algorithms, Amazon has tape-recorded countless private conversations and enabled momentary employees to listen to and transcribe some of them. [205] Opinions about this extensive security range from those who see it as a necessary 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 way to provide important applications and have established a number of strategies 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 personal privacy professionals, such as Cynthia Dwork, have started to view privacy in regards to fairness. Brian Christian wrote that professionals have pivoted "from the concern of 'what they know' to the question of 'what they're finishing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer code