Artificial intelligence algorithms need big amounts of information. The strategies used to obtain this information have actually raised issues about privacy, surveillance and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT items, constantly collect individual details, raising concerns about intrusive information gathering and unapproved gain access to by 3rd parties. The loss of personal privacy is more intensified by AI's ability to process and integrate large amounts of data, potentially resulting in a surveillance society where individual activities are constantly kept track of and analyzed without appropriate safeguards or openness.

Sensitive user data collected may include online activity records, geolocation information, video, or audio. [204] For instance, in order to construct speech acknowledgment algorithms, Amazon has recorded millions of private conversations and enabled short-lived employees to listen to and transcribe a few of them. [205] Opinions about this widespread security variety from those who see it as an essential evil to those for whom it is plainly unethical and a violation of the right to personal privacy. [206]
AI designers argue that this is the only way to provide valuable applications and have actually established a number of 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 personal privacy specialists, such as Cynthia Dwork, have started to see privacy in regards to fairness. Brian Christian wrote that experts have actually 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 code