Artificial intelligence algorithms require big quantities of information. The methods used to obtain this data have raised concerns about personal privacy, surveillance and copyright.

AI-powered devices and services, such as virtual assistants and IoT products, continually gather personal details, raising concerns about invasive information event and unauthorized gain access to by 3rd parties. The loss of privacy is more worsened by AI's capability to process and integrate large amounts of information, possibly resulting in a security society where individual activities are constantly kept an eye on and examined without appropriate safeguards or openness.

Sensitive user information collected may include online activity records, geolocation information, video, or audio. [204] For instance, in order to build speech recognition algorithms, Amazon has actually tape-recorded countless private discussions and allowed short-lived workers to listen to and transcribe some of them. [205] Opinions about this widespread monitoring range from those who see it as a needed evil to those for whom it is plainly dishonest and an offense of the right to privacy. [206]
AI developers argue that this is the only method to deliver important applications and have developed a number of strategies that try to maintain privacy while still obtaining the data, 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 regards to fairness. Brian Christian wrote that experts have pivoted "from the concern 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