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

AI-powered devices and services, such as virtual assistants and IoT products, constantly collect personal details, raising concerns about intrusive information event and unauthorized gain access to by third celebrations. The loss of privacy is additional intensified by AI's ability to process and integrate huge quantities of information, possibly resulting in a surveillance society where individual activities are continuously kept track of and examined without adequate safeguards or transparency.

Sensitive user information gathered might consist of online activity records, geolocation information, video, or audio. [204] For instance, in order to construct speech recognition algorithms, Amazon has recorded countless personal conversations and allowed temporary workers to listen to and transcribe a few of them. [205] Opinions about this widespread monitoring 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 developers argue that this is the only way to deliver valuable applications and have actually developed numerous techniques 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 privacy specialists, such as Cynthia Dwork, have actually begun to see privacy in terms of fairness. Brian Christian composed that experts have actually rotated "from the concern of 'what they understand' to the question of 'what they're finishing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer code