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

AI-powered devices and services, such as virtual assistants and IoT items, continually collect personal details, raising concerns about invasive information event and unapproved gain access to by 3rd celebrations. The loss of privacy is more exacerbated by AI's capability to process and integrate large amounts of data, possibly leading to a security society where individual activities are continuously kept track of and analyzed without sufficient safeguards or transparency.

Sensitive user information collected may consist of online activity records, geolocation data, video, or audio. [204] For instance, in order to build speech acknowledgment algorithms, Amazon has actually recorded millions of private discussions and allowed momentary workers to listen to and transcribe a few of them. [205] Opinions about this widespread monitoring variety from those who see it as a required evil to those for whom it is plainly unethical and a violation of the right to personal privacy. [206]
AI designers argue that this is the only way to provide important applications and have actually developed several strategies that try to maintain personal privacy while still obtaining the information, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy professionals, such as Cynthia Dwork, have begun to see personal privacy in terms of fairness. Brian Christian wrote that experts have actually pivoted "from the concern of 'what they know' to the question of 'what they're doing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer system code