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

AI-powered gadgets and services, such as virtual assistants and IoT items, constantly collect individual details, raising issues about intrusive data gathering and unapproved gain access to by third celebrations. The loss of privacy is more exacerbated by AI's capability to process and integrate large quantities of information, possibly leading to a monitoring society where private activities are continuously kept track of and examined without adequate safeguards or transparency.

Sensitive user information collected may consist of online activity records, geolocation information, video, or audio. [204] For instance, in order to construct speech recognition algorithms, Amazon has taped millions of private conversations and enabled momentary workers to listen to and transcribe some of them. [205] Opinions about this widespread surveillance range from those who see it as an essential evil to those for whom it is plainly dishonest and a violation of the right to privacy. [206]
AI developers argue that this is the only method to deliver valuable applications and have developed a number of methods that attempt to maintain 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 begun to see personal privacy in regards to fairness. Brian Christian wrote that experts have rotated "from the concern of 'what they understand' to the concern of 'what they're finishing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, consisting of in domains such as images or computer code