Artificial intelligence algorithms need big quantities of information. The techniques used to obtain this information have raised issues about personal privacy, security and copyright.

AI-powered devices and services, such as virtual assistants and IoT products, constantly collect personal details, raising concerns about invasive information event and unapproved gain access to by third celebrations. The loss of privacy is additional intensified by AI's ability to procedure and integrate huge amounts of information, potentially resulting in a monitoring society where individual activities are constantly monitored and analyzed without adequate safeguards or openness.

Sensitive user information collected might consist of online activity records, geolocation information, video, or audio. [204] For instance, in order to build speech acknowledgment algorithms, Amazon has actually taped millions of private conversations and permitted short-lived employees to listen to and transcribe a few of them. [205] Opinions about this extensive surveillance variety from those who see it as a necessary 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 actually established a number of methods that attempt 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 started to view personal privacy in terms of fairness. Brian Christian wrote that specialists have rotated "from the concern of 'what they know' to the question 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