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

AI-powered devices and services, such as virtual assistants and IoT products, constantly gather individual details, raising issues about invasive data gathering and unapproved gain access to by 3rd celebrations. The loss of personal privacy is further intensified by AI's ability to process and integrate large quantities of data, potentially leading to a security society where private activities are constantly monitored and examined without appropriate safeguards or openness.

Sensitive user data gathered may consist of online activity records, geolocation information, video, or audio. [204] For instance, in order to construct speech recognition algorithms, Amazon has tape-recorded millions of personal discussions and enabled short-term employees to listen to and transcribe a few of them. [205] Opinions about this extensive security variety from those who see it as an essential evil to those for whom it is plainly dishonest and an infraction of the right to personal privacy. [206]
AI developers argue that this is the only method to deliver important applications and have actually developed numerous strategies that attempt to maintain privacy while still obtaining the data, such as information 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 regards to fairness. Brian Christian wrote that specialists have pivoted "from the question of 'what they know' to the concern of 'what they're making with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, consisting of in domains such as images or computer code