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

AI-powered gadgets and services, such as virtual assistants and IoT items, continuously gather personal details, raising concerns about invasive data gathering and unapproved gain access to by 3rd parties. The loss of privacy is further intensified by AI's capability to process and combine large quantities of information, possibly leading to a surveillance society where specific activities are continuously monitored and evaluated without appropriate safeguards or openness.

Sensitive user information gathered might consist of online activity records, geolocation data, video, or audio. [204] For example, in order to develop speech acknowledgment algorithms, Amazon has recorded countless personal discussions and permitted momentary workers to listen to and transcribe a few of them. [205] Opinions about this widespread security range from those who see it as a required 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 important applications and have established numerous techniques that try to privacy while still obtaining the data, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy specialists, such as Cynthia Dwork, have begun to view personal privacy in terms of fairness. Brian Christian composed that professionals have pivoted "from the question of 'what they know' to the concern 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