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

AI-powered gadgets and services, such as virtual assistants and IoT products, continually collect individual details, raising issues about intrusive data gathering and unapproved gain access to by third celebrations. The loss of personal privacy is more intensified by AI's ability to process and combine large amounts of data, possibly leading to a surveillance society where specific activities are constantly kept track of and examined without sufficient safeguards or transparency.

Sensitive user information collected may consist of online activity records, geolocation data, video, or audio. [204] For example, in order to construct speech recognition algorithms, Amazon has actually recorded countless personal discussions and enabled short-term workers to listen to and transcribe some of them. [205] Opinions about this extensive surveillance variety from those who see it as a required evil to those for whom it is plainly dishonest and an offense of the right to privacy. [206]
AI designers argue that this is the only way to deliver valuable applications and have actually developed several techniques that attempt to maintain personal privacy while still obtaining the information, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy experts, such as Cynthia Dwork, have started to view privacy in regards to fairness. Brian Christian wrote that professionals have rotated "from the question of 'what they know' to the concern 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 system code