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

AI-powered gadgets and services, such as virtual assistants and IoT items, constantly collect personal details, raising issues about invasive information gathering and unauthorized gain access to by 3rd parties. The loss of personal privacy is more exacerbated by AI's capability to procedure and integrate huge quantities of data, possibly causing a surveillance society where private activities are continuously kept track of and analyzed without appropriate safeguards or transparency.

Sensitive user information gathered might consist of online activity records, geolocation information, video, or audio. [204] For example, in order to construct speech recognition algorithms, Amazon has actually tape-recorded countless personal conversations and enabled momentary employees to listen to and transcribe some of them. [205] Opinions about this widespread security variety from those who see it as a necessary evil to those for whom it is plainly dishonest and an offense of the right to privacy. [206]
AI designers argue that this is the only way to deliver valuable applications and have actually established numerous 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 professionals, such as Cynthia Dwork, have actually begun to see privacy in terms of fairness. Brian Christian wrote that specialists have pivoted "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