Artificial intelligence algorithms need big quantities of data. The strategies used to obtain this information have actually raised concerns about privacy, surveillance and copyright.

AI-powered devices and services, such as virtual assistants and IoT items, constantly collect individual details, raising issues about invasive data event and unauthorized gain access to by 3rd parties. The loss of privacy is more exacerbated by AI's capability to process and integrate huge quantities of information, potentially leading to a surveillance society where individual activities are continuously kept track of and examined without adequate safeguards or openness.

Sensitive user information collected may include online activity records, geolocation data, video, or audio. [204] For instance, systemcheck-wiki.de in order to develop speech recognition algorithms, Amazon has tape-recorded countless private discussions and enabled short-term workers to listen to and transcribe some of them. [205] Opinions about this extensive security variety from those who see it as a required evil to those for whom it is plainly unethical and an offense of the right to privacy. [206]
AI designers argue that this is the only method to deliver valuable applications and have developed several 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 experts, such as Cynthia Dwork, have actually begun to view personal privacy in regards to fairness. Brian Christian wrote that professionals have rotated "from the question of 'what they understand' to the question of 'what they're doing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer system code