Artificial intelligence algorithms require big amounts of information. The techniques utilized to obtain this information have raised concerns about personal privacy, monitoring and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, constantly collect personal details, raising concerns about intrusive data event and unauthorized gain access to by 3rd parties. The loss of privacy is further worsened by AI's ability to procedure and integrate vast quantities of information, possibly resulting in a security society where specific activities are constantly kept track of and evaluated without appropriate safeguards or transparency.

Sensitive user data gathered may consist of online activity records, geolocation data, video, or audio. [204] For instance, in order to construct speech recognition algorithms, Amazon has recorded millions of personal conversations and enabled momentary 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 a violation of the right to privacy. [206]
AI designers argue that this is the only method to provide important applications and have established a number of strategies that try to maintain privacy while still obtaining the information, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have actually started to see personal privacy in regards to fairness. Brian Christian wrote 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, including in domains such as images or computer system code