Artificial intelligence algorithms need big amounts of data. The strategies used to obtain this data have actually raised concerns about privacy, security and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT items, continuously collect individual details, raising issues about intrusive information event and unapproved gain access to by 3rd parties. The loss of privacy is further worsened by AI's ability to process and integrate vast quantities of information, potentially causing a surveillance society where private activities are constantly kept track of and examined without appropriate safeguards or transparency.

Sensitive user data collected might consist of online activity records, geolocation information, video, or audio. [204] For instance, in order to construct speech acknowledgment algorithms, Amazon has tape-recorded millions of personal conversations and allowed temporary employees to listen to and transcribe some of them. [205] Opinions about this widespread monitoring range from those who see it as a necessary evil to those for whom it is plainly dishonest and a violation of the right to personal privacy. [206]
AI developers argue that this is the only method to provide valuable applications and have actually developed numerous strategies that attempt to maintain privacy while still obtaining the data, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy experts, such as Cynthia Dwork, have begun to view personal privacy in terms of fairness. Brian Christian wrote that specialists 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