Artificial intelligence algorithms require large quantities of information. The methods utilized to obtain this information have raised concerns about personal privacy, surveillance and copyright.

AI-powered devices and services, such as virtual assistants and IoT products, constantly gather personal details, raising issues about intrusive data gathering and unapproved gain access to by third celebrations. The loss of privacy is additional worsened by AI's ability to procedure and integrate vast amounts of information, possibly resulting in a security society where private activities are continuously monitored and analyzed without appropriate safeguards or openness.

Sensitive user information gathered might include online activity records, geolocation data, video, or audio. [204] For example, in order to develop speech acknowledgment algorithms, Amazon has recorded millions of personal conversations and allowed temporary workers to listen to and transcribe a few of them. [205] Opinions about this widespread monitoring variety from those who see it as a necessary evil to those for whom it is plainly dishonest and a violation of the right to privacy. [206]
AI designers argue that this is the only way to deliver important applications and have established numerous strategies that try 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 privacy in terms of fairness. Brian Christian composed that professionals have actually pivoted "from the concern of 'what they understand' to the question of 'what they're making with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, including in domains such as images or computer code