Artificial intelligence algorithms require large quantities of information. The techniques used to obtain this data have raised concerns about privacy, monitoring and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, continuously gather individual details, raising concerns about invasive data event and unapproved gain access to by 3rd parties. The loss of personal privacy is additional intensified by AI's ability to procedure and combine vast amounts of data, potentially resulting in a monitoring society where specific activities are continuously kept an eye on and evaluated without sufficient safeguards or transparency.

Sensitive user data collected might include online activity records, geolocation data, video, or audio. [204] For instance, in order to build speech recognition algorithms, Amazon has recorded countless personal discussions and allowed temporary employees to listen to and transcribe a few of them. [205] Opinions about this prevalent security range from those who see it as a required evil to those for whom it is plainly dishonest and an infraction of the right to personal privacy. [206]
AI developers argue that this is the only method to provide important applications and have actually developed several methods that try to maintain privacy while still obtaining the data, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have actually begun to view personal privacy in terms of fairness. Brian Christian wrote that experts have 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 system code