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

AI-powered devices and services, such as virtual assistants and IoT items, continually collect personal details, raising concerns about invasive information gathering and unapproved gain access to by 3rd celebrations. The loss of privacy is additional exacerbated by AI's ability to procedure and integrate vast quantities of information, possibly leading to a surveillance society where individual activities are continuously kept an eye on and evaluated without appropriate safeguards or openness.

Sensitive user information gathered might include online activity records, geolocation data, video, or audio. [204] For example, in order to build speech acknowledgment algorithms, Amazon has recorded millions of private conversations and allowed short-term workers to listen to and transcribe some of them. [205] Opinions about this widespread security range 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 method to provide valuable applications and have developed a number of methods that attempt to maintain personal privacy while still obtaining the data, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have actually begun to view privacy in terms of fairness. Brian Christian composed that experts have rotated "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, consisting of in domains such as images or computer code