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

AI-powered devices and services, such as virtual assistants and IoT items, constantly collect personal details, raising issues about invasive data gathering and unapproved 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 security society where individual activities are constantly monitored and evaluated without adequate safeguards or transparency.

Sensitive user information gathered might consist of online activity records, geolocation data, video, or audio. [204] For example, in order to build speech acknowledgment algorithms, Amazon has taped countless personal discussions and permitted short-term workers to listen to and transcribe some of them. [205] Opinions about this extensive surveillance range from those who see it as a required 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 deliver important applications and have developed several methods that try to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have begun to see personal privacy in regards to fairness. Brian Christian composed that experts have rotated "from the concern of 'what they know' to the question of 'what they're finishing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, consisting of in domains such as images or computer system code