Artificial intelligence algorithms require big quantities of data. The methods used to obtain this data have raised concerns about personal privacy, surveillance and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT items, constantly gather individual details, raising issues about invasive data event and unapproved gain access to by 3rd parties. The loss of personal privacy is additional exacerbated by AI's capability to process and combine large amounts of information, potentially leading to a surveillance society where individual activities are continuously kept an eye on and examined without appropriate safeguards or openness.

Sensitive user data collected may include online activity records, geolocation information, video, or audio. [204] For example, in order to construct speech recognition algorithms, Amazon has actually taped millions of private conversations and permitted momentary employees to listen to and transcribe some of them. [205] Opinions about this extensive security variety from those who see it as a necessary evil to those for whom it is plainly unethical and an infraction of the right to privacy. [206]
AI developers argue that this is the only method to deliver valuable applications and have actually established several methods that try to maintain personal privacy while still obtaining the data, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have begun to see personal privacy in terms of fairness. Brian Christian wrote that experts have actually rotated "from the concern of 'what they understand' to the concern 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