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

AI-powered devices and services, such as virtual assistants and IoT products, continually collect individual details, raising issues about invasive data event and unapproved gain access to by 3rd celebrations. The loss of privacy is further intensified by AI's ability to procedure and integrate vast amounts of data, possibly causing a surveillance society where individual activities are constantly kept an eye on and examined without appropriate safeguards or openness.

Sensitive user information gathered may include online activity records, geolocation information, video, or audio. [204] For instance, in order to build speech acknowledgment algorithms, Amazon has actually recorded millions of private conversations and enabled short-lived employees to listen to and transcribe a few of them. [205] Opinions about this extensive 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 designers argue that this is the only way to provide important applications and have actually developed several strategies that attempt 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 started to see privacy in terms of fairness. Brian Christian composed that specialists have rotated "from the question of 'what they know' to the concern of 'what they're doing with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, including in domains such as images or computer code