Artificial intelligence algorithms require big amounts of data. The methods used to obtain this information have actually raised concerns about personal privacy, monitoring and copyright.

AI-powered devices and services, such as virtual assistants and IoT products, continually collect individual details, raising concerns about invasive data gathering and unauthorized gain access to by 3rd parties. The loss of privacy is additional intensified by AI's capability to process and integrate vast quantities of information, potentially causing a surveillance society where individual activities are continuously monitored and examined without appropriate safeguards or transparency.

Sensitive user information collected may include online activity records, geolocation data, video, or audio. [204] For instance, in order to construct speech acknowledgment algorithms, Amazon has recorded countless personal conversations and enabled momentary workers to listen to and transcribe some of them. [205] Opinions about this widespread monitoring range from those who see it as a required evil to those for whom it is plainly dishonest and a violation of the right to personal privacy. [206]
AI developers argue that this is the only way to provide important applications and have developed a number of methods that attempt to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential 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 understand' to the question of 'what they're making with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, consisting of in domains such as images or computer code