Artificial intelligence algorithms require big quantities of data. The strategies utilized to obtain this information have raised issues about personal privacy, security and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, constantly gather individual details, raising issues about intrusive data event and unapproved gain access to by third celebrations. The loss of personal privacy is more intensified by AI's capability to process and integrate large quantities of information, potentially resulting in a surveillance society where private activities are constantly kept track of and analyzed without adequate safeguards or transparency.

Sensitive user data gathered may include online activity records, geolocation data, video, or audio. [204] For example, in order to develop speech recognition algorithms, Amazon has tape-recorded countless personal discussions and allowed short-lived workers to listen to and transcribe a few of them. [205] Opinions about this prevalent security range from those who see it as a needed evil to those for whom it is plainly dishonest and an offense of the right to personal privacy. [206]
AI developers argue that this is the only way to deliver valuable applications and have developed several methods that attempt to maintain personal privacy while still obtaining the information, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have actually begun to see personal privacy in terms of fairness. Brian Christian wrote that specialists have actually rotated "from the question of 'what they know' to the concern of 'what they're doing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer system code