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

AI-powered gadgets and services, such as virtual assistants and IoT items, constantly collect individual details, raising issues about intrusive data gathering and unauthorized gain access to by third parties. The loss of privacy is further worsened by AI's ability to process and combine large quantities of information, potentially resulting in a security society where private activities are constantly monitored and evaluated without sufficient safeguards or transparency.

Sensitive user data gathered might include online activity records, geolocation information, video, or audio. [204] For example, in order to construct speech recognition algorithms, Amazon has actually tape-recorded millions of personal discussions and permitted temporary employees to listen to and transcribe some of them. [205] Opinions about this prevalent monitoring range from those who see it as a required 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 established numerous strategies that attempt to maintain personal privacy while still obtaining the information, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy specialists, such as Cynthia Dwork, have actually begun to view privacy in terms of fairness. Brian Christian composed that professionals have rotated "from the question of 'what they know' to the question of 'what they're doing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer code