Artificial intelligence algorithms require big amounts of information. The techniques used to obtain this data have raised concerns about privacy, security and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT items, continually collect personal details, raising issues about intrusive data event and unauthorized gain access to by 3rd parties. The loss of privacy is further exacerbated by AI's capability to process and combine vast amounts of data, possibly causing a surveillance society where individual activities are continuously kept track of and evaluated without appropriate safeguards or openness.

Sensitive user data collected might include online activity records, geolocation information, video, or audio. [204] For example, in order to construct speech recognition algorithms, Amazon has taped millions of personal conversations and permitted short-lived employees to listen to and transcribe a few of them. [205] Opinions about this extensive security range from those who see it as a required evil to those for whom it is plainly dishonest and an offense of the right to personal privacy. [206]
AI designers argue that this is the only method to provide important applications and have established several strategies 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 started to view privacy in regards to fairness. Brian Christian wrote that specialists have pivoted "from the concern of 'what they understand' to the question of 'what they're doing with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, including in domains such as images or computer code