Artificial intelligence algorithms need large amounts of information. The strategies used to obtain this information have raised issues about personal privacy, surveillance and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT items, constantly gather personal details, raising concerns about invasive information event and unauthorized gain access to by 3rd celebrations. The loss of privacy is more worsened by AI's ability to procedure and integrate vast amounts of information, potentially resulting in a monitoring society where private activities are constantly kept track of and analyzed without adequate safeguards or openness.

Sensitive user information gathered might include online activity records, geolocation information, video, or audio. [204] For example, in order to develop speech recognition algorithms, Amazon has recorded countless personal conversations and enabled temporary employees to listen to and transcribe some of them. [205] Opinions about this extensive monitoring range from those who see it as an essential 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 deliver valuable applications and have established numerous strategies that try to maintain 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 see personal privacy in regards to fairness. Brian Christian composed that specialists have rotated "from the concern of 'what they understand' to the concern of 'what they're doing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, consisting of in domains such as images or computer code