Artificial intelligence algorithms require large amounts of data. The used to obtain this data have raised issues about personal privacy, monitoring and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, constantly gather personal details, raising issues about invasive data event and unapproved gain access to by 3rd parties. The loss of personal privacy is additional exacerbated by AI's ability to process and integrate huge amounts of information, potentially resulting in a security society where individual activities are constantly monitored and evaluated without adequate safeguards or transparency.

Sensitive user data collected might include online activity records, geolocation data, video, or audio. [204] For example, in order to construct speech acknowledgment algorithms, Amazon has taped countless personal discussions and permitted temporary workers to listen to and transcribe some of them. [205] Opinions about this widespread monitoring variety from those who see it as a required evil to those for whom it is plainly dishonest and an infraction of the right to privacy. [206]
AI developers argue that this is the only way to deliver important applications and have established numerous methods that try to maintain personal privacy while still obtaining the data, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy professionals, such as Cynthia Dwork, have actually started to view privacy in terms of fairness. Brian Christian composed that experts have rotated "from the concern of 'what they understand' to the concern 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