Artificial intelligence algorithms require big quantities of information. The techniques used to obtain this information have actually raised issues about privacy, surveillance and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, continually gather individual details, raising issues about intrusive information gathering and unauthorized gain access to by 3rd parties. The loss of personal privacy is more intensified by AI's capability to process and integrate large amounts of information, possibly causing a surveillance society where individual activities are constantly kept an eye on and examined without appropriate safeguards or transparency.

Sensitive user information collected may consist of online activity records, geolocation information, video, or audio. [204] For example, in order to construct speech recognition algorithms, Amazon has recorded millions of private conversations and permitted momentary employees to listen to and transcribe a few of them. [205] Opinions about this extensive security variety from those who see it as a needed evil to those for whom it is plainly unethical and an offense of the right to personal privacy. [206]
AI designers argue that this is the only method to provide valuable applications and have actually developed several strategies that attempt to maintain privacy while still obtaining the data, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have actually begun to view personal privacy in terms of fairness. Brian Christian composed that experts have rotated "from the question of 'what they understand' to the concern of 'what they're doing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, consisting of in domains such as images or computer code