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

AI-powered devices and services, such as virtual assistants and IoT items, constantly gather personal details, raising issues about intrusive data event and unauthorized gain access to by 3rd parties. The loss of personal privacy is additional worsened by AI's capability to process and integrate huge amounts of data, potentially resulting in a monitoring society where individual activities are constantly kept track of and analyzed without adequate safeguards or openness.

Sensitive user information gathered might include online activity records, geolocation data, video, or audio. [204] For instance, in order to develop speech acknowledgment algorithms, Amazon has actually tape-recorded millions of personal discussions and enabled temporary workers to listen to and transcribe some of them. [205] Opinions about this prevalent surveillance variety from those who see it as an essential evil to those for whom it is plainly unethical and an offense of the right to personal privacy. [206]
AI designers argue that this is the only method to deliver important applications and have developed several strategies that attempt to maintain personal privacy while still obtaining the data, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have started to view privacy in regards to fairness. Brian Christian wrote that professionals have actually rotated "from the concern of 'what they know' to the question of 'what they're doing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, consisting of in domains such as images or computer code