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

AI-powered devices and services, such as virtual assistants and IoT products, constantly collect personal details, raising issues about intrusive information event and unapproved gain access to by 3rd celebrations. The loss of privacy is further worsened by AI's capability to procedure and integrate vast quantities of information, potentially resulting in a monitoring society where individual activities are constantly kept track of and analyzed without appropriate safeguards or transparency.

Sensitive user information gathered might consist of online activity records, geolocation data, video, or audio. [204] For example, in order to construct speech recognition algorithms, Amazon has actually recorded millions of personal conversations and enabled short-lived employees to listen to and transcribe a few of them. [205] Opinions about this widespread surveillance variety 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 developers argue that this is the only way to provide valuable applications and have developed numerous strategies that try to maintain personal privacy while still obtaining the information, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have begun to see personal privacy in terms of fairness. Brian Christian composed that professionals have rotated "from the question of 'what they know' 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