Artificial intelligence algorithms need big amounts of data. The techniques used to obtain this information have 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 information event and unauthorized gain access to by third parties. The loss of personal privacy is further exacerbated by AI's capability to procedure and combine large quantities of data, possibly leading to a monitoring society where individual activities are constantly monitored and analyzed without sufficient safeguards or transparency.

Sensitive user information collected might consist of online activity records, geolocation data, video, or audio. [204] For instance, in order to build speech recognition algorithms, Amazon has taped millions of personal discussions and enabled temporary employees to listen to and transcribe some of them. [205] Opinions about this prevalent monitoring 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 valuable applications and have established several methods that try to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential 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 pivoted "from the question of 'what they understand' to the question of 'what they're doing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer code