Artificial intelligence algorithms require big quantities of information. The methods 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, continuously collect individual details, raising issues about invasive data event and unauthorized gain access to by 3rd parties. The loss of privacy is additional exacerbated by AI's ability to procedure and combine large amounts of data, possibly causing a security society where specific activities are constantly kept an eye on and evaluated without adequate safeguards or openness.

Sensitive user data collected may consist of online activity records, geolocation information, video, or audio. [204] For instance, in order to construct speech recognition algorithms, Amazon has actually tape-recorded countless personal conversations and allowed short-lived employees to listen to and transcribe some of them. [205] Opinions about this prevalent surveillance variety from those who see it as a necessary evil to those for whom it is plainly dishonest and an infraction of the right to privacy. [206]
AI developers argue that this is the only way to deliver important applications and have actually established numerous strategies that attempt 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 started to view privacy in regards to fairness. Brian Christian composed that experts have rotated "from the question 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 system code