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

AI-powered devices and services, such as virtual assistants and IoT products, continuously gather personal details, raising issues about invasive information event and unauthorized gain access to by 3rd celebrations. The loss of personal privacy is additional worsened by AI's ability to procedure and integrate vast amounts of data, possibly resulting in a monitoring society where individual activities are constantly kept an eye on and evaluated without sufficient safeguards or transparency.

Sensitive user information collected might include online activity records, geolocation information, video, or audio. [204] For instance, in order to develop speech recognition algorithms, Amazon has actually tape-recorded countless private conversations and permitted momentary employees to listen to and transcribe some of them. [205] Opinions about this prevalent monitoring variety from those who see it as an essential evil to those for whom it is plainly unethical and an infraction of the right to personal privacy. [206]
AI developers argue that this is the only method to provide important applications and have actually established a number of techniques that try to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have started to view personal privacy in regards to fairness. Brian Christian wrote that specialists have rotated "from the question of 'what they understand' 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 system code