Artificial intelligence algorithms need large quantities of data. The methods used to obtain this data have raised concerns about personal privacy, surveillance and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, continually collect individual details, raising issues about intrusive data event and unapproved gain access to by 3rd parties. The loss of privacy is more worsened by AI's capability to process and combine huge amounts of information, possibly resulting in a surveillance society where individual activities are continuously monitored and evaluated without appropriate safeguards or transparency.

Sensitive user information gathered may consist of online activity records, geolocation data, video, or audio. [204] For instance, in order to construct speech recognition algorithms, Amazon has actually taped countless private discussions and enabled short-lived workers to listen to and transcribe a few of them. [205] Opinions about this widespread monitoring range from those who see it as a needed evil to those for whom it is plainly unethical and an offense of the right to privacy. [206]
AI developers argue that this is the only way to deliver important applications and have actually established several techniques that attempt to maintain privacy while still obtaining the information, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have begun to view personal privacy in terms of fairness. Brian Christian composed that experts have rotated "from the question of 'what they understand' to the concern of 'what they're finishing with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, consisting of in domains such as images or computer code